杏吧原创

Abstract

There are many definitions for different types of leadership, such as transformational or transactional, autocratic or democratic, task-oriented or service-oriented. Others define leadership as situational or just plain management. I have found most of these terms to be too limited and too narrow to cover the complex act of leading others. Consequently, I have developed a humanistic leadership model or HLM. The aim of humanistic leadership is to place people over profit to make business more sustainable. To thrive and survive, every business needs profit, but, with a humanistic leadership approach, business and people thrive. With the constant threats of environmental change and geopolitical conflict, we need humanistic leadership more than ever to enable a sustainable and more peaceful world.

The HLM Model

Humanistic Leadership Starts with Self-Awareness

To lead others well, one must be able to lead oneself first.
What does it mean to be self-aware? This is a lifelong process. To be self-aware means being able to answer the question: 鈥淲ho am I?鈥� This is a question that most people do not ask themselves. However, this is the most important question to answer. Self-aware leaders should also ask themselves: 鈥淲hat is most important and why?鈥� In connection to this, understanding one鈥檚 values and which goals are aligned with these values are the key. Otherwise, people will spend most of their day on activities that have nothing to do with their most important values. A self-aware person should also reflect on one鈥檚 daily behavior to ensure that it always aligns with one鈥檚 most important values. Another attribute of self-awareness is to have a healthy perspective of oneself and others.

Become a System鈥檚 Thinker

I have observed that many self-aware leaders are also system鈥檚 thinkers. To be a system鈥檚 thinker means being able to think through one鈥檚 actions and potential outcomes. This includes understanding how your actions affect others. Being a system鈥檚 thinker means having the ability to understand that each action can result in unintended consequences that might affect many other people.

Humanistic system鈥檚 thinkers consider of the big picture.

• David Katz, founder of the Plastic Bank, has the mission for his company to reduce the amount of plastic in the ocean and poverty in the world through recycling projects.
• The Fourth King of Bhutan continues the pledge of national happiness for the people of Bhutan as the country鈥檚 gross national product. The country鈥檚 constitution shows that system鈥檚 thinking as environmental protection is a written law to ensure that 60% of the land is forested.
• The Chinese government has a national plan to move more than 250 million people from the farmlands to the big cities to enable economic growth.
• Norway has a national strategy to be carbon neutral by 2030.

Humanistic Leadership

Humanistic leadership is about trusting others, being ethical, having compassion, and participating as a collective whole. A humanistic leadership system has a clear and aligned vision, mission, values, and expected behaviors. There should be a transparent communication and collaboration versus internal competition among the system鈥檚 members. In a humanistic leadership system, the organizational culture is caring and supportive, and people feel appreciated and included. The humanistic leader understands at a deep level that the most important business indicator is the level of joy and meaning that people have in their work. When this is in place, all other indicators of business success will go up. The key tenants of humanistic leadership are placing the needs of people over profit and having empathy and respect for others.

• When the 2017 fires of Northern California hit, Airbnb offered free rooms to those without homes.
• Tony Hsieh, the visionary leader of the shoe company Zappos, stated that enabling people to find passionate work is the best route to delivering happiness to its customers.
• Squarespace, a web development company, lets its workers take as much vacation as needed, treating people as owners versus commodities. The company has an 18-week paid parental leave policy, believing that when a child is born, these are the most important times for family bonding.
• Patagonia, a clothing product company, closed the company for a day, encouraging customers not to buy their products to save global resources. The company views family, environment, and community first. One percent of all their revenues go to nonprofits.
• Quicken Loans is revitalizing Detroit by paying its workers subsidies to live there and has spent over 2 billion dollars to buy and renovate properties.
• The Container Store pays into a fund that is available for its staff when they have unexpected medical emergencies.
• The founder of TOMS shoes has restored eyesight in more than 400,000 people in 13 countries through eyewear donations and eye treatment in addition to donating 35 million shoes and safe drinking water to five countries.
• Love Your Melon, an apparel brand, supports children battling cancer by donating 50% of its profits to nonprofit partners.

All these companies have a compelling vision that focuses on positive influence on its people and society.

The Skills of Humanistic Leadership

The skills of humanistic leadership are leading, managing, and coaching. The humanistic leader should have all these skills.

Leading

Leading is about having a clear business vision and being able to explain this vision to people in a way that inspires them to come to work. Leading is selling tickets for the journey in a passionate and facilitative way.

Managing

Managing is the opposite of leading, requiring stability, structure, discipline, and consistency. However, it also takes into consideration the individual person. Managing requires consistent processes, good time management, and the transparent act of setting and measuring goals in a collaborative way.

Coaching

Coaching is about helping people on a daily basis to get them where they need to go. A strong leader is able to listen to and focus on people and their needs while enabling motivation. Coaching enables collaboration versus competition. The best coaches enable people to develop in their own ways, not rating and ranking them against others, but by treating them in unique ways and allowing for self-orientation and independence in their work.

The best way to see if there is humanistic leadership in place is to see if the followers can lead themselves.

The Behaviors of Humanistic Leaders

Humanistic leaders are aware of the behavioral style that fits them best and gets the best results from people.

Some people prefer a more autocratic style of leading; others prefer a more democratic and collaborative style. Some might utilize a more task-oriented and structured approach, while others are more comfortable leading in a service-oriented style. Some leaders just prefer to lead through their personal values and principles, while others lead in political ways, serving their interests first.

In my observations, leading others in a collaborative and democratic way tends to get the best results from people at work.

Personality Traits of Humanistic Leaders

Although personality is wired at birth and difficult to change, behavior can be changed. For example, an introverted leader can decide to be more outgoing and sociable even though it could be difficult for this person. However, the leader can modify the behavior to connect more directly with followers. In my observations, there are specific personality traits that humanistic leaders have. They have a high level of conscientiousness that enables deeper thinking, better organization, and discipline. A humanistic leader also should be open, have integrity, and make others feel appreciated and included. Finally, I have determined that having interpersonal sensitivity is important to understand others, and this becomes easier when a person is self-aware.

A Better Way

The humanistic leadership model is needed to better lead others at a personal, societal, and organizational level. Becoming a humanistic leader is not optional, but mandatory, if we aim for sustainability at all levels now and into the future.

Abstract

The article presents experimental evidence of the hypothesis that the theoretical construct ego state, widely used in coaching, in addition to its psychological content, reflects the physiological mobilization of a person to a certain reaction type. Such mobilization is manifested in how the human cardiovascular system works. Experimental evidence is given that the theoretical construct ego state really captures completely definite and meaningfully different psychophysiological states of a person. Also shown is that transitions from such an ego state to another one are indeed accompanied by significant changes in heart rate variability that was estimated with the help of the Baevsky Stress Index (SI). Also provided is experimental data confirming the validity of using the Baevsky (SI to evaluate the effectiveness of various options for working with coaching associative cards (CACs).

Introduction

For more than half a century, coaches, psychologists, and psychotherapists have been actively using a psychological concept of the ego state of a person, which means a combination of feelings, thoughts, and actions connected with each other as a way of manifesting our personality at a certain moment (Berne, 2010; Ognev, et al., 2019; Shmelev, 2015).

In transactional analysis, created by Berne (2006), such ego states as the Inner Child, the Inner Adult, and the Inner Parent (Berne, 2006) are distinguished as basic ego states. Each of these ego states has the quality that can be designated as subjectivity, which means 鈥渢he cause of oneself鈥� (Petrovskiy, 2010), which has its own phenomenological content and integrity of experience in a specific period of time. The Inner Child, according to transactional analysis, is a combination of thoughts, feelings, and behaviors characteristic of any experience at an earlier age. The Inner Adult is a set of thoughts, feelings, and behaviors related to the current situation with the reality of 鈥渉ere and now.鈥� This stage focuses on a pragmatic assessment of what is happening as well as a rational assessment of the causes and possible consequences of certain events. The Inner Parent is a combination of thoughts, feelings, and behaviors inherent in one of the parents. Parental figure means any person who played a significant role in shaping the personality of that person. Parent formation occurs throughout life. In everyday life, the Inner Parent manifests itself in moral and ethical attitudes to your and others鈥� behavior. Both the Inner Child and the Inner Parent regress under stress. The higher the level of stress, the higher the level of manifestation of the Inner Child and the Inner Parent. The level of regression under stress shows the stability and strength of the self. This raises the question as to whether this is really the case: Are there physiological correlates of ego states?

Despite the years-long practice of using these theoretical concepts, there is practically no experimental confirmation that these ego states really differ from each other in the physiological reactions associated with them. The existence of such reactions follows from the proposition that its creators included the mobilization readiness of a person for a certain type of reaction in the theoretical concept of ego state. Initially, such a mobilization should be manifested in how the human cardiovascular system works. If the theoretical concept of ego state is not just a popular metaphor, and if it is used to register quite meaningfully different psychophysiological states of a person, then transitions from one ego state to another should be accompanied by significant changes in the work of the human body, and above all 鈥� of the heart. On the basis of the results described in our earlier studies (Ognev et al., 2019), the assumption is that such changes can be recorded by assessing heart rate variability using the Baevsky SI.

Study Methods

To test the hypothesis presented, the authors carried out a series of experiments in which the key transactional ego states were modeled with the help of metaphorical associative cards. At the same time, the psychophysiological reactions corresponding to these states were recorded with the help of the computer hemodynamic recorders Cardiocode. Meanwhile, the authors took into account the results of previous experimental studies, which showed that an increased Baevsky SI, when compared to average values, can be considered as a sign of an asthenic reaction to a stimulus, and the lower Baevsky SI value can be considered a sign of an asthenic reaction to a stimulus. We also believe that Baevsky SI indicators are a more effective indicator of the nature of participants鈥� emotional reactions than changes in their heart rates (Ognev et al., 2019).

Taking into account the pictorial turn, which became a clearly identified trend at the end of the 20th century and is constantly accelerating (Alexander, 2008; Dors & Vogel, 2014; Mitchell, 1994), metaphorical associative cards were chosen as a stimulus material to actualize the ego states described above. As shown in numerous scientific publications, the images used in metaphorical cards help the therapist to actualize certain psychophysiological conditions of the patient, which can be used as 鈥渢argets鈥� for psycho-corrective intervention (Buravtsova, 2018).

For stimulus material in the experiments, the authors used the standard set of coaching associative cards (CACs) created by Shmelev (2015). This choice was made because of productive use of CACs by consultants and coaches in different areas.

The study involved 126 respondents (average age of 20.5 years, the standard deviation from which amounted to a total of 5.4 years in the sample). The consistent algorithm for the work of all respondents included the following tasks. Initially, respondents were asked to select metaphorical associative cards that they associated with the negative Inner Adult, Inner Parent, and Inner Child, as well as with the positive Inner Adult, Inner Parent, and Inner Child.

Then all respondents spent 15 seconds alternately fixing their attention on the cards that they associated with each of the ego states listed above. The final task for the respondents was to select all the metaphorical associative cards that they associated with positive ego states and then focus their attention on all such cards for 15 seconds at a time.

When the participants were performing these tasks, their cardiograms were recorded using computer hemodynamic recorders Cardiocode. This stage is shown in the photographs of participants performing tasks while their cardiograms are recorded.

Further, using the algorithms embedded in the software of these recorders, the authors calculated the Baevsky SI for each participant. Processing of all received data was carried out using the statistical package Stadia 8.0.

Discussion of Results

The obtained statistical patterns in determining the Baevsky SI for various ego states of the respondents are presented in Table 1.

Table 1. The Main Statistical Parameters of SI for Various Ego States of Respondents

Ego States	Arithmetic Mean Value	Standard Deviation	Median value	Skewness	Excess Kurtosis
1	341.4	196	288	0.99	3.317
2	257.5	214.3	206	3.195	16.04
3	335.3	247.8	279.5	2.462	12.26
4	254.8	216.3	200.5	2.681	11.46
5	334.1	340.4	251	0.169	0.56
6	258.1	185.2	168.9	0.173	6.8
7	210.5	208.4	185.2	2.984	15.35

The first column of this and all the following tables shows the numbers that indicate the following ego states: 1, 3, 5 鈥� the negative Inner Adult, Inner Parent, and Inner Child that were successively triggered; 2, 4, 6 鈥� the positive Inner Adult, Inner Parent, and Inner Child that were successively triggered; 7 鈥� the integrative ego state, caused by the respondents鈥� simultaneous concentration on the stimuli with which they designated as the positive conditions of the Inner Adult, Inner Parent, and Inner Child.

The static significance of differences in average values was confirmed by the 蠂飥� (chi-square) criterion, which was evaluated with the help of the statistical package Stadia 8.0.

The resulting distributions differed from the Gauss-Laplace distribution. Therefore, to identify correlation relationships, the authors used Spearman鈥檚 rho and Kendall鈥檚 tau coefficients. Since the nature of the identified relationships for each of these coefficients and the factor structure revealed for each of them are similar, in the following tables only data for Spearman鈥檚 rho coefficient are given, in view of its greater universality.

The tables below show the results of various options for optimizing the factor structure of the data using Spearman鈥檚 rho coefficient. Table 2 shows the parameters of the factor structure after using the Varimax Rotation, with which we sought to minimize the number of variables with high loads on each factor. Table 3 presents the data obtained after applying the Quartimax Rotation, with which we tried to minimize the number of factors that are required for a meaningful interpretation of each variable used. Table 4 shows the results of the Equimax Rotation, which was used to simultaneously minimize the number of variables with large factor loads and the number of factors explaining them. The authors also performed the 袨blique Rotation, with which we sought to minimize the number of factors without ensuring their complete orthogonality. The result was that the factor structure of correlations after the 袨blique Rotation exactly corresponded to the structure obtained after the Varimax Rotation. While optimizing the factor structure of the revealed correlation relationships, we analyzed the options, which included from three factors (covered up to 50% of the variance and was associated with large losses of information) to seven factors (covered more than 90% of the variance and was characterized by the presence of a significant number of uninformative relationships). Optimal was the optimization of the factor structure of the revealed correlation relationships, which included four factors and covered more than 80% of the variance. The data for this optimization option are presented in Tables 2鈥�4.

Table 2. Factor Structure of Correlations After the Varimax Rotation

Table 3. Factor Structure of Correlations After the Quartimax Rotation

Table 4. Factor Structure of Correlations After the Equimax Rotation

As seen from the data presented, SI indicators for the positive ego states are part of some factors, and SI indicators for the negative ego states are part of other factors. Moreover, these regularity and factor structures are retained for all the rotation options used. The structures, as well as the statistically significant differences in average SI indicators, also demonstrates a substantial generality of the positive ego states, which differs significantly from a substantial generality of SI indicators for the negative ego states.

The most powerful factors in all variants of rotation included SI indicators for all positive ego states, when they were successively triggered, and the SI indicator, which was obtained when respondents worked with all three positive ego states. In this regard, we should recall that in transactional analysis, the therapy completion is considered successful when the patients achieve such a level of organization of their lives when their Inner Child is able to freely realize their authentic intentions with the help of the effectively functioning Inner Adult under the protection of the Inner Parent (Stewart & Joines, 2012). Thus, the factor structure confirms the presence of a positive integrative effect from the joint actualization of the positive varieties of imaginary Internal Adult, Internal Parent, and Internal Child by the respondents at the psychophysiological level, since joint actualization corresponds to the optimal Baevsky SI.

In terms of testing the hypothesis about the difference in psychophysiological indicators associated with certain ego states of a person, attention is also drawn to the generality and specificity of the data obtained in all the described types of transformations of the revealed correlation relationships (Table 5).

Table 5. The Generality and Specificity of Baevsky SI for Various Ego States

As can be seen in Table 5, indicators of generality and specificity of SI values for the positive and negative ego states have noticeable differences. The SI indicators for the negative ego states have the greatest generality (i.e., they account for the largest share of variance with respect to the identified factors that are most universal). At the same time, the SI indicators for the positive ego states have the greatest specificity (i.e., they account for the largest share of variance with respect to specific factors).

Conclusion

During the research, experimental evidence of the validity of the hypothesis that the concept of ego state in addition to its psychological content really reflects the physiological mobilization of a person to a certain type of response. In particular, such mobilization is manifested in a certain nature of the work of the cardiovascular system.

The obtained experimental data indicate that the concept of ego state is not just a successful metaphor; rather, substantively distinct psychophysiological states of a person can be observed. Transitions from one ego state to another one are accompanied by significant changes in the work of the human body 鈥� especially the heart. A reliable reflection of such changes is the assessment of heart rate variability using the Baevsky SI.

In addition, as in previous research (Ognev et al., 2019), we obtained experimental confirmation of the validity of using such a complex cardiometric indicator as the Baevsky SI to assess the effectiveness of various psycho-correctional methods. But if earlier this concerned the methods of psychosomatic self-regulation, now the productive use of the Baevsky SI is also shown through transactional analysis.

Abstract

People are social creatures who often seek out connections with their family members, friends, co-workers, and peers. Dr. Joel Salinas鈥� (2018) research found that the number and quality of social connections can even have health benefits. People with high social connections have a lower risk for strokes, cognitive dysfunction, and even pathology (Salinas, 2018). This desire for social connections transcends the college classroom 鈥� where students look to connect with their peers, the course content, their faculty, and the campus. Various technologies are available in many learning management systems (LMSs) and as open-source resources, which can be used to enhance faculty, student, and curriculum connections. The authors examine and address how technology can be used to establish and nurture social connections within the online college classroom and what role technology can play in improving student satisfaction and success outcomes.

Connections

Connections are an important part of education and student success. This is true of both online (Weller, 2007) and traditional classrooms (Kop, 2011). Past research (Baumeister & Leary, 1995; Bergin & Bergin, 2009; Teven & McCroskey, 1997) indicates that student connections influence student perceptions and are key factors in student success. This is especially true when examining perceptions of the students toward the faculty member teaching their course. In a brick-and-mortar institution, these perceptions often stem from the various interactions between the student and professor across the college (both in and out of class). The challenge is how to build and sustain rapport online, which is important for two reasons. First, students want a close, harmonious relationship with a group that shares similar feelings and ideas (Frisby & Martin, 2010). Second, positive perceptions of the students鈥� rapport with their faculty member are associated with emotional, cognitive, and pro-academic behaviors such as motivation, class attendance, and participation (Frisby, Slone, & Bengu, 2017; Solis & Turner, 2017).

Additionally, positive perceptions can predict student and course outcomes. Considerable research indicates that students鈥� interactions with the course, the content, the faculty, and other students influence their perceptions of not only the class but also their opinion of the faculty, the course learning outcomes, and their overall experience with the university. This finding is important since other research suggests that many students want a lifelong relationship with their college or university (Clinefelter, Aslanian, & Magda 2019; Frisby & Gaffney, 2015, Hagenauer & Volet, 2014; Halx, 2010; Sibii, 2010). The terms connection and rapport can be used to describe a wide range of concepts. Sibii (2010) defines student connections to include closeness, care, safety, trust, honesty, fairness, respect, openness, support, encouragement, availability, and approachability (p. 535). All of these factors can contribute to building rapport, which is defined as students鈥� general perception of the relationship with their instructor (Frisby & Gaffney, 2015). Students who hold positive perceptions of connection and rapport and believe their instructor cares about their success also conclude that they learn more (Boynton & Boynton, 2005). The challenge is determining if this outcome can be effectively implemented in the online or virtual environment. How can the trends in the higher education industry, coupled with technology, be used in the online classroom to help facilitate student and faculty connection and rapport? These issues and others will be addressed, and a list of free or open-source technology tools for consideration when facilitating and engaging students in an online classroom is provided.

Trends

Online education continues to grow in popularity. A 2018 report by Best colleges.com found that 80% of students felt the online learning method was at least as good as or better than traditional on-campus learning. According to Clinefelter, Aslanian, & Magda (2019), 85% of participants in their study reported that their online school experience helped them improve critical-thinking and problem-solving skills. Google data analytics indicate that the fastest growing internet search query for education in 2018 included a specific education program and the term online (Mangles, 2018).

Enrollment in online education has more than quadrupled since the early 2000s. Even at a time when tuition at universities is rising faster than inflation, and wages are stagnant, enrollment in online programs is holding steady (Dusst & Winthrop, 2018). There is a national interest in student success in higher education institutions, especially in the online market. Poor student outcomes have led to negative publicity and skepticism from potential students to enroll in some online institutions. Colleges and universities are using data analytics to manage return on both student and university investments (Mangeles, 2018), which has led to colleges and universities looking for ways to integrate technology to increase the return on investment in online education and to better support student success.

New technology is entering the online education space, including virtual and augmented reality. These new immersion technologies have the potential to provide students with real-world experiences and can provide a collaborative environment connecting students in the same virtual space, regardless of their physical location (Lopez, 2016). Although this technology might be cost prohibitive in its current state, the potential is pervasive. Some universities have created virtual campus tours via mobile applications. Other virtual technology offerings include instructors holding virtual office hours, live tutoring, and student鈥揳dvisor video meetings. For example, students can set up a meeting with their instructor via a mobile calendar app. During the agreed-upon time, the student would knock on the instructor鈥檚 virtual office door, sit down in the virtual chair on the opposite side of the instructor鈥檚 desk, and have a real-time conversation via video about the course content or assignment instructions in a virtual reality setting. In instances where a faculty member or student might not want to use video, they can opt for an avatar or still picture to display on the screen and still benefit from the real-time interaction. Such a strategy also creates an opportunity for a student鈥搃nstructor exchange that contributes to connection and rapport building, which can better support student success as noted previously.

Student Engagement

The proverb 鈥淣o man is an island鈥� (Donne, 1624) is as relative to life today as it was in the 17th century and can be applied to the area of higher education. Connections continue to be an important part of education and student success. When students begin their online college journey, they are excited, motivated, and ready to start a new adventure. Students see this opportunity as a way for them to improve their personal and professional lives. However, this excitement can temper quickly if students feel they have entered a desolate wasteland, left to navigate the unknown online environment all by themselves.

By focusing on finding ways to present an enriching online experience for students through encouraging relationship building with their peers and faculty, and engagement with their program and school as a whole, we might be able to improve student connection, rapport, and engagement. These critical success factors influence the overall student experience, success, and satisfaction (Bergin & Bergin, 2009). Leveraging technology to foster these connections and relationships is key.

Observations

The student鈥搃nstructor connection and rapport are important aspects of improving student success. Technology will play a key role in fostering both components in the online modality. Although an exhaustive review of all current educational technology is beyond the scope of this paper, our intent is to highlight the importance of these factors and provide tangible examples of using technology to enhance student鈥搃nstructor connection and rapport. We also introduce some resources that have potential to augment the student鈥檚 experience in the online environment. Examining social media and its impact on connection and rapport within the online classroom is beyond the scope of this paper; however, we do note the important role social media can play and the benefits of examining social media in future research. See Appendix A for a sample of technology tools that can assist the online instructor. See Appendix B for a sample of technology tools that might benefit the online student.

An online university instituted a communication system within the Canvas Learning Management System (LMS) called CVITAS. CVITAS displays a visual graphic, called a heat map, which shows students鈥� engagement in the course. All students are awarded a score based on their level of engagement in the course. The score shows how often and how much time the students spend reviewing the syllabus, the assignment instructions, discussion board activity, and on the course material activity page. Students are assigned an engagement score between 1 and 10, based on the LMS data point, which is refreshed every 24 to 48 hours. Over time, the expectation would be that the distribution of the engagement scores would hover at the midpoint or around 5 out of 10. Instructors are encouraged to send out communication weekly to low-performing students (those scoring below 5), which not only fosters rapport but also supports the likely increase in students鈥� participation. Instructors are also able to include the students鈥� advisors on the outreach should they feel extra student support is needed. The goal is to increase both peer-to-peer and student-to-faculty communication in an effort to increase students鈥� overall experience and, ultimately, their success in the class.

In addition, instructors are encouraged to send messages to midlevel students (those scoring between 5 and 8) to encourage them to continue engaging in the course work and contact high-performing students (those scoring above 8), acknowledging a job well done. Students across the board, including high-performing students, frequently responded, thanking their faculty member for reaching out and recognizing their hard work and commitment to the classroom. The reviews from students since the CVITAS initiative began, approximately 12 months ago, have been mostly positive. Instructors have observed a notable difference in student responses. Students answer favorably to the positive engagement emails acknowledging their participation and accomplishments. Many students receiving the low-engagement scores are inquiring as to what they can do to get out of the red zone or low-engagement category. The table illustrates a few paraphrased examples of the types of student responses received when given their CVITAS engagement scores via email. Even though not everyone might have access to this tool, the principle (regardless of the tool utilized) of taking the opportunity to connect with students at key touch points across the course is both needed and effective. Using something as basic as the gradebook and roster can prove effective if given attention.

Student Responses to Engagement Emails

Engagement Score	Positive	Average	Low
Comment	Thank you for everything! I appreciate all I have learned the past 6 weeks. Thank you for the email. You are the first instructor to recognize my hard work! Wow鈥�this is the first time I received an email telling me I did a good job! Thank you! Thank you very much Professor!!! I loved your class. I have learned so much. This class has been really tough! Thank you for recognizing how hard I am working this term!	How can I get to green? Please let me know. I will do better next week! Thank you for the email. Dr鈥�, why am I getting this? I logged on at least once last week. Sorry for the delay鈥�I attempted to submit my work last night, but it did not go through. I will be double checking that moving forward. Thank you for reaching out. If you had not, I would not have realized it until I looked at the gradebook and noticed the zero. It is much appreciated.	Thank you for checking with me…I have not been feeling well, but I am doing better today and will submit my assignment by end of day. Thank you鈥�I am having a hard time balancing my work/home/school life. I will try to engage in the class soon. Again, thank you for reaching out. Thank you so much for reaching out to me. It means so much that you care about my success enough to take the time and reach out. Thanks for the email. I will be submitting my paper tonight. I have been working two jobs and it has been really hard.

Common Technology

Many of the current technology tools used in the online classroom are mostly static. Examples include course announcements, discussion assignments, written guidance, recorded lectures, and integrated rubrics, which are valuable methods of communicating information to students even though they might see these as more of an information dump or reiteration of what has already been posted in the syllabus or in the assignment instructions. Repetition in education has some value. Aristotle (Ross & Phil, 1906) recognized this in 350 BCE with his laws of association and frequency stating that learning 鈥渋s frequent repetition that produces a natural tendency鈥� (p. 113), and 鈥渢he more frequently two things are experienced together, the more likely it will be that the experience or recall of one will stimulate the recall of the second鈥� (p. 11). However, instructors should be mindful of how much information is presented in the course and avoid students experiencing cognitive overload.

Administrators might also keep this in mind when considering faculty expectations, i.e., more is not always better. If the announcements, discussions, and other static tools are used to enhance or augment the material already presented in another form, they can provide value for the students. Oftentimes these tend to be more repetitive in nature and offer very little in the way of encouraging engagement, reflection, and creative thinking. Simple adjustments to these static methods, such as focusing on the visual appeal of the delivery method, can encourage students to read and engage in the material. For example, instructors can use a free service such as (see Appendix A) to create interesting infographics when posting an announcement or a discussion response. Something as simple as creating a visually appealing PowerPoint slide, saving it as a .jpg, and uploading it to the class as an announcement or discussion post can catch the students鈥� attention and encourage them to respond.

Less Common Technology Tools

Digital technology allows instructors to provide audiovisual feedback to students. Screen-casting technologies offer a different approach to providing students with feedback on their assignments or discussion posts. Early research supported the idea that audiovisual feedback can enhance the student learning experience and create rapport and support between faculty members and their students (Liou & Peng, 2009). This type of feedback allows instructors to engage students with multiple learning styles. Whether this type of feedback is more effective in improving student performance or engagement than written feedback is debatable, but it is an option for instructors who are looking for different ways to reach their students. Providing audiovisual feedback is now simple and easy to incorporate with built-in features in some LMSs.

Most LMSs have alert systems that can filter and target students who have missed a deadline or performed poorly on an assignment. Instructors can quickly home in on students who might be struggling and use the alert system to contact students and encourage them to participate in the class or submit a missing assignment. Even if an LMS does not have this feature, a quick glance at the grade book could allow instructors to perform targeted outreach via email or telephone. Email is likely the most common tool used to communicate with students in the online classroom, but text messaging, social learning communities, and even social media could be used to reach students as well. Digital badging can be incorporated to show students when they have met or exceeded a goal within the classroom. For example, if a student is the first to respond in a discussion forum, they might earn a digital conversation starter badge. The full potential of digital badging has not been recognized yet, but some early research suggests that badging can be used to motivate students by recognizing their accomplishments. Seixas, Gomes, & Filho (2016) found that students with low engagement in the online classroom were often motivated to increase their participation when gamification techniques were applied.

Considerations and Recommendations

Quality Versus Quantity

Technology can be implemented to present content that is interesting and relevant to students. This can draw students deeper into a topic, direct their own learning, and help them attain technological literacy skills that can translate to the workforce. We have to be cognizant of providing quality resources versus bombarding students with too much information. Examples of quality might include taking time to develop highly visual and appealing announcements and discussion posts that are accurate and error free; following best practices for creating videos, being mindful of background, presentation, length, and content; and embedding video instead of just posting a link.

Balance / Americans with Disabilities Act 鈥� Especially with Video

Alternative methods are needed for presenting information feedback in conjunction with video, such as written transcripts or closed captioning. Many software programs are available that will transcribe the videos. Google Docs and Temi both have built-in voice-typing tools. Amara is one of many collaborative captioning and translation tools. Not all students are going to prefer video feedback and lectures over written ones. Video lectures and feedback should be as short as possible when conveying the information. Instructors might find that they need to communicate in multiple formats to appeal to multiple student-learning styles, keeping the course content relevant, timely, and up-to-date to hold student interest and attention. Engaging students can be challenging, as they face constant distractions; in addition, their attention spans are getting shorter. Research indicates that three to four minutes is the average time students will spend reviewing video lectures or feedback (Briggs, 2014; Bradbury, 2016; Armes, 2018).

Helping Students Make Connections

The online classroom is diverse, and students come from different backgrounds, cultures, and experiences. The instructor can give students a survey at the beginning of the course to capture data about their interests and abilities and then share the aggregate results in the introduction discussion forum to build a sense of community. For example, if the informal survey indicated that 45% of students were interested in learning more about the stock exchange, the instructor could look for ways to incorporate that information into a lesson. Stanford University developed a program called Talk 杏吧原创, which enables peer discussion in a global classroom via Google Hangouts (Hertz, 2013). Students and instructors are able to post their video responses in real time. If instructors are able to find commonalities across the discussion thread, they can use these commonalities to connect the students to each other and the instructor.

Mindful of Communication Style in Public and Private Settings

One may not readily distinguish between public and private conversation in the online environment, but students will certainly note the tone of the communication. Using one approach in the discussion forum or in a live seminar/session and another in the gradebook can actually hinder instructor鈥搒tudent rapport and ultimately learning. A simple, mindful practice that goes a long way to ensuring consistency across communication includes always using a greeting (Hi, John) and providing a complimentary close (Thanks, Dr. J.). Effective communication needs participation from all parties. Emotional awareness, or the ability to recognize feelings, plays a role in the effectiveness of communication (Pogosyan, 2018). Being mindful of how our communication styles affect others can assist us in becoming better communicators.

Careful Not to Overwhelm with Mass Communications

Students receive a lot of information from various stakeholders across the university. They receive university-wide emails, alerts, and notifications, which do not even include the communications they receive from outside the university to that same email address for nonschoolrelated activities. Being cognizant when posting announcements, sending emails or texts, and responding in the discussion forums that our communication has a purpose is important. If students receive too many messages that they see as irrelevant or not pertinent to them, they could begin to ignore our attempts or else see them as disingenuous.

Limitations and Future Research

This work is based on the two authors鈥� experiences. In addition, we recognize there are other limitations, including our own bias toward appreciation of online learning. In future studies, we will consider specific practices connected to building rapport and success outcomes. Apps and social media platforms, such as Twitter badges, where students push their discussion posts using a hashtag to be a storyteller or other badges that recognize student achievements could be explored to see if they encourage student engagement, rapport, and satisfaction. Future research could examine ways to encourage students to tap into emotions, and add personal stories in an effort to build rapport. Additional consideration might be given to negative influences outside school that could be impacting key metrics, including rapport building with peers and instructors. Being mindful of the ethical issues around personal disclosures will be important.

Adding self-assessments and peer-review opportunities where students grade each other鈥檚 discussion posts or rough drafts could be explored as an effort to give students a sense of ownership, accountability and control over their learning. Students could be given the opportunity to choose between several options for assignments versus forced choice. For example, they could be given the option of creating a voice-over PowerPoint presentation, creating a personal video, or creating an animated video as options for a presentation assignment.

Future research about the benefits of training online instructors on the implementation of engagement strategies, not just on theories and pedagogies, should be addressed. Instructors should be given access to specific engagement tools to leverage technology and build rapport in the classroom. Additional research on engaging learners by using a mix of content delivery methods (video, text, audio, etc.) should be explored. Various methods for keeping the course content relevant and updated by bringing in new research, news, articles, policies, and emerging trends should be examined.

Another opportunity for future researchers is the use of how specific technology tools might affect course retention or success rates. Methods of leveraging email notifications from the LMS, scheduling and sending automated encouraging and motivating messages to high-performing students (and not just focusing on those who are falling behind) should be explored in more detail.

Conclusion

Many college students today grew up in the digital age and are comfortable with various social media and technology tools. Regardless of the level of comfort with these tools, technology is part of all online college students鈥� lives. These students will need to use some sort of technology, such as a computer or mobile device, to manage their day-to-day online learning tasks. Additionally, research (Bergin & Bergin, 2009; Hagenauer, & Volet, 2014; Frisby, Slone, & Bengu, 2017) has shown that students need to build a connection and establish rapport with their peers, faculty, and the university. Knowing this, faculty members and university systems need to find effective ways to use technology in the classroom, which gives students the opportunity to interact with their classmates and instructor in various ways. Providing a variety of options to find what options work best for the individual needs of the students is important. Integrating technology in the college classroom encourages students to stay engaged and develop their digital citizenship skills (Mareco, 2017). As educators, we can help students improve outcomes, including their grades, course completion rates, technology skills, and critical-thinking skills. At the same time, instructors must support efforts to foster student鈥揻aculty rapport. Technology is an integral part of life in the 21st century and can be used to make positive changes in the online college classroom and, ultimately, in the lives of students.