Introduction
The benefits of online learning at the college and university level have been widely acknowledged, including improved writing and computer skills, anonymity that benefits students who are reluctant to participate in the physical classroom, increased course selection, and the ability to complete assignments when it is most convenient for individual students (Appana, 2008; Aslanian & Clinefelter, 2013; Daymont et al., 2011; Heap, 2017). Online degree programs designed to attract and meet the educational needs of adult learners rely heavily on computer technology; currently, there is no alternative approach that can reach so many students (Bart, 2016; Rodriquez & Nash, 2004). There is an investment on the part of the student, the instructor, and the institution; students must learn how to use the learning management system (LMS) and understand the design of the online course (Cole et al., 2017). While the benefits of online learning are substantial, there are also challenges: the tools that make online learning possible—the laptops, tablets, and smartphones—also constitute a digital barrier that limits instructor and learner communications to characters on a screen or grades in an online grade book. Online learning can feel very isolating and lonely because of the lack of contact with classmates and instructors (Bart, 2016). Although the newest LMSs incorporate more media and interactive elements than previous systems, online learning environments continue to rely heavily on textbased resources and communications that limit incorporating emotional context (Sarsar, 2017). However, it is the human element that still counts and may be the most challenging element of learning online: “We learned that instructional technology may be a way of enhancing and increasing learning opportunities, but in the end, the human factor matters most of all” (Rodriquez & Nash, 2004, p. 74). The human element in online learning, for this study, consists of the instructor incorporating ideograms, in the form of emojis, into online course discussions to add emotional context.
Background of the Study
The reality of effective teaching in the online classroom involves being emotionally and cognitively present without the benefit of a physical presence. Students’ perceived lack of an instructor presence in online courses has been associated with their expressed preference for face-to-face classes; some students associate online classes with learning entirely on their own, without the support of classmates and, more importantly, without an instructor (Delaney et al., 2010; Diebel & Grow, 2009; Tichavsky et al., 2015). “Students believe they would have to teach themselves or prefer a course taught by a ‘human’ or a ‘real’ teacher” (Tichavsky et al., 2015, p. 6).
More specifically, students’ perception that their online course is managed automatically via an LMS leads to a belief that there is no one to whom they can turn for help, answer questions, or care about their performance in the course. Also, students have expressed the view that online courses are more challenging than face-to-face courses because of these missing elements that only an instructor can provide: their enthusiasm for the discipline, their ability to convey what is most important about the course topic, and their distinct personality (Tichavsky et al., 2015).
To be present in an online learning environment involves putting aside the false notion that an instructor can effectively hide behind a computer interface or that, at the very least, one is invisible. For most faculty teaching today, many of their experiences as students and new faculty have been rooted in the physical classroom, with bright lines that separate shared student-instructor spaces (classrooms, office hours, dining hall) from instructor-only spaces (office, home). The instructor’s physical presence meant standing in front of neat rows of desks or at the head of a lecture hall; no extra effort was necessary to convey presence on the part of the instructor beyond simply showing up (McQuiggan, 2012). Because these physical student-instructor spaces do not exist in online classes, “some faculty simply put their lectures online and call it teaching” (McQuiggan, 2012, p. 32).
However, effective online teaching involves responding to students individually via email, online discussions, and online course chats; these communications are the core of online course management and serve to maintain course continuity (Conceição, 2006). While necessary, these interactions are not sufficient to convey the presence of an instructor in an online course; presence is a function not of transactions but space, even if that space is digital. Consistent with this line of thinking, an online instructor demonstrates presence “in the shape of an avatar [expressed as] a text, icon, image, or a three-dimensional shape; a teacher’s digital body is a way of teaching and showing presence in an online setting” (Bolldén, 2016, p. 2).
Theoretical Framework
The notion of social presence was introduced by Short et al. (1976), researchers in the field of social communications; they defined social presence as “the degree of salience of the other person in a mediated communication and the consequent salience of their interpersonal interactions” (p. 65). The contextualization of instructional communication using nonverbal cues was identified by Anderson (1979) as teacher nonverbal immediacy. These cues consist of eye contact, body language, facial expressions, gestures, appropriate touching, classroom space, and vocal expression: inflection, pitch, tone, pace (Kerssen-Griep & Witt, 2012).
In response to the rise of the digital world, Walther (1992) discovered that participants in online environments created visual interpretations of fellow participants based on their digital contributions to create a sense of closeness and identification. Gunawardena and Zittle (1997) helped shape the notion of online social presence by extending it to include the participants’ feeling that they are interacting with a real person (Cunningham, 2015; Sung & Mayer, 2012).
The online teaching environment creates a new environment that is distinct from the onsite teaching environment; the presence of the instructor and the other students creates a learning space that neutralizes feelings of isolation and promotes a conducive learning environment (Bolldén, 2016; Lehman & Conceição, 2010). Still, the importance of social presence is not always clear to even experienced online instructors (Casey & Kroth, 2013). Social presence has been directly and indirectly linked to student satisfaction (Leong, 2011; Mathieson & Leafman, 2014). Social presence is a quality that students value in their online instructors (Akyol & Garrison, 2008; Caspi & Blau, 2008; Gunawardena & Zittle, 1997; Mathieson & Leafman, 2014).
Conversely, a lack of instructor social presence in an online course has been associated with student dissatisfaction, “an unreasonably critical attitude toward the instructor’s effectiveness, and a lower level of affective learning” (Wei et al., 2012, p. 529). Bayne’s (2005) study of identity construction in online learning environments found that teachers did not create an online social presence as much as constructing an identity rooted in control and authority. Not surprisingly, online educators have been strongly encouraged to consider social presence when designing and developing their online courses (Kear et al., 2014; Lee & Huang, 2018; Muilenburg & Berge, 2005).
Social presence is one of the three core elements of Garrison et al. (2000, 2003) community of inquiry framework, along with teaching presence and cognitive presence, and represents the “human third of the [community of inquiry] equation” (Mathieson & Leafman, 2014, p. 3). The founding concept of the community of inquiry framework is the vital role that community plays in effective online learning: “Within our model, we define social presence as the ability of learners to project themselves as ‘real’ people in a community of inquiry” (Garrison et al., 2003, p. 115). Social presence is rooted in social communication, or communication that is not directly related to the academic content; social communication conveys the following: humor, emotion, self-disclosure, appreciation, encouragement, and the acknowledgment of students as individuals (e.g., the use of names and nicknames; Garrison et al., 2010). Although the concepts of “teaching presence” and “social presence” may appear to describe the same phenomenon, teaching presence focuses specifically on students’ perception of course content-related communications as well as course direction (Cole et al., 2017).
Tools of Humanization: Communication in Online Classes
The term LMS was developed initially in association with the PLATO K–12 learning system and described the course management component and not the content element (R. Foshay, personal communication, October 24, 2006, cited in Watson & Watson, 2007). According to Watson and Watson (2007), an LMS is defined as follows:
[An] LMS is the framework that handles all the aspects of the learning process. An LMS is the infrastructure that delivers and manages instructional content, identifies and assesses individual and organizational learning or training goals, tracks the progress towards meeting those goals and collects and presents data for supervising the learning process of an organization as a whole. (p. 29)
Despite students’ insistence that social presence is important to their learning, the design of LMSs has not focused on supporting the social presence of instructors in online courses (Kumar et al., 2011; Mathieson & Leafman, 2014). In an online course environment, social presence must be purposefully created and is not generated automatically as a function of the system itself. When teaching online, the traditional onsite classroom environment is not re-created; instead, an entirely new environment is created. The presence of other learners and the instructor is vital to facilitate a successful learning environment and avoid feelings of isolation (Lehman & Conceição, 2010).
Emojis
Emojis are small images that provide an emotional context for textual communication, often but not always on a mobile Internet-enabled device; they qualify as ideograms to represent an object, idea, or emotion without expressing its pronunciation. First introduced by Shigetaka Kurita in Japan in the late 1990s, these small pictures add emotional context and contextual cues to text-based communications on a mobile Internet-enabled device. The term “emoji” is derived from the Japanese characters for “picture” and “character,” although it does evoke the English word for emotion (Skiba, 2016).
The term “emoji” is often used interchangeably with the term “emoticon,” but they are not the same; emoticons are created by combining keyboard symbols to make pictures (e.g., <3 to represent a heart; Alshenqeeti, 2016). The smiley, formed by stringing together a colon, a dash, and a right parenthesis, is not a new invention. Harvey Ross Ball, an American graphic artist, invented the smiley in 1964 as part of an insurance company’s efforts to raise employee morale by having the staff wear buttons with the smiley (Danesi, 2016). Not all emojis convey human emotion or experience: nonface emojis are more accurately called pictograms (e.g., a pizza emoji or a dog emoji; Riordan, 2017). Emojis were adopted with enthusiasm by Japanese users of mobile devices to convey emotional context and other information. The immense popularity of emojis and their ease of use and low cost transformed text-based messaging with its humor, sarcasm, affection, playfulness, and human feeling (Alshengeeti, 2016; McIntyre, 2016; Moschini, 2016).
Used individually or strung together to create a more complex message, emojis add creativity that is an expression of the user (Tauch & Kanio, 2016). The power of emojis also lies in its universal nature, allowing users to bridge language and generational divides. In 2010, Google and Apple standardized over 722 emoji codes using the Unicode Consortium, and in 2011 Apple added an emoji keyboard to its operating system (iOS; Alshenqeeti, 2016; Doiron, 2018).
For current undergraduates of traditional or near-traditional college age (18–30), emojis are routinely included in their online communications and constitute 38% of users who send several messages with emojis on any given day (Emoji Research Team, 2016). These students have always been able to convey feelings and emotions with a few clicks on a keyboard; users of all ages in the digital world have made it clear that the emotional context of messages is important. Moreover, the context is more than just black and white, happy or sad: anger, sadness, confusion, relief, joy, and surprise are just some of the emojis that represent emotional context (Alshenqeeti, 2016). For instructors who wish to incorporate emojis into the course-related digital communications, Doiron (2018) suggests that the meaning or concept associated with a specific emoji be made clear to students: “an emoji lexicon for higher education needs to be created,” and instructors should “include a lexicon in the course syllabus and provide examples of their use” (p. 8).
The universal nature of emojis is often noted and their potential to facilitate communication between individuals who do not share a common verbal language (Alshenqeeti, 2016; Gulsen, 2016). Although they are a relatively recent invention, early research indicates that emoticons/emojis can provide emotional context that clarifies the intended message behind digital communications (Kaye et al., 2016), take the place of non-verbal communications (Yuasa et al., 2011), and reveal the personality of the user (Wall et al., 2016). However, there is a potential for confusion because of differing platforms (e.g., Apple, Google, Twitter, Facebook) and cultural interpretations (Doiron, 2018; Miller et al., 2016).
Emojis’ expression of emotion allows the instructor to create a digital persona (or e-persona) that extends their personality into the otherwise impersonal digital sphere (Clark, 1994; de Kerckhove & de Almeida, 2013). This capacity to convey personality may be associated with the emojis’ because emojis come in various subjects, including universal facial expressions (Azuma, 2012). “In effect, they act as nonverbal surrogates, telling the reader what the writer’s expression would be, and delivering additional social cues to support understanding of the message” (Alshenqeeti, 2016, p. 60).
Objectives and Hypothesis
Our objective is to present the concept of h-learning, a variation on the term e-learning, as it applies to digital communications and the humanizing effect of ideograms and other online course communication tools utilized at the University of Central Florida. This study aims to determine the impact of using emojis in online discussions on students’ perception of the instructor’s human presence.
Hypothesis 1: Using emojis in online discussions will increase students’ perception of the online instructor’s human presence.
Methodology
This exploratory, quasi-experimental study took place at the University of Central Florida in Orlando, Florida, in the Department of Modern Languages and Literatures. The type of quasi-experimental design used in this study qualifies as a non-equivalent comparison group design; this design is widely used in educational research that involves an experimental and comparison group and a pretest and posttest (Campbell & Stanley, 1963). Students in two sections of an introductory Spanish language course (taught by the same instructor) served as the population, and participation in this study was voluntary. The Spanish language course was SPN1120C-Elementary Spanish Language, and Civilization I. Offered in both fall and spring semesters, SPN1120C “introduces the student to Spanish culture through the major language skills: listening, speaking, reading, and writing. Open only to students with no experience in this language” (University of Central Florida, 2018).
The instrument used to collect data from study participants (Figure 1) was adapted from a series of short surveys titled “Godspeed” (Appendix B); according to the authors of these surveys, the name “Godspeed” was selected because the intended audience was developers of robots. According to the authors Bartneck et al. (2009), the instrument was developed “for the technical developers of interactive robots who want to evaluate their creations without having to take a degree in experimental psychology” (p. 71).
The questionnaire is titled Please rate your impression of the instructor on these scales. It includes thirteen pairs of opposing terms. The left column lists the terms Fake, Machinelike, Artificial, Unkind, Apathetic, Silent, Unfriendly, Dislike, Uncaring, Unpleasant, Awful, Incompetent, Unengaged, and Absent. The right column lists the opposing terms Natural, Humanlike, Lifelike, Kind, Responsive, Interactive, Friendly, Like, Caring, Pleasant, Nice, Competent, Engaged, and Present. A horizontal line of numbers from one to five is present between each pair of terms. A note at the bottom says Adapted from Godspeed survey developed by Bartneck et al open parenthesis 2019 close parenthesis.Survey measuring students’ perception of instructor “humanness.”
The questionnaire is titled Please rate your impression of the instructor on these scales. It includes thirteen pairs of opposing terms. The left column lists the terms Fake, Machinelike, Artificial, Unkind, Apathetic, Silent, Unfriendly, Dislike, Uncaring, Unpleasant, Awful, Incompetent, Unengaged, and Absent. The right column lists the opposing terms Natural, Humanlike, Lifelike, Kind, Responsive, Interactive, Friendly, Like, Caring, Pleasant, Nice, Competent, Engaged, and Present. A horizontal line of numbers from one to five is present between each pair of terms. A note at the bottom says Adapted from Godspeed survey developed by Bartneck et al open parenthesis 2019 close parenthesis.Survey measuring students’ perception of instructor “humanness.”
The original purpose of this instrument was to standardize the measurement of human-robot interaction (HRI) by focusing on five HRI concepts: anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety (Bartneck et al., 2009; Table 1). Although developed for evaluating interactive robots, the Godspeed series has been previously adapted for use in a study that focused on students’ perceptions of the instructor through her digital feedback (Clark-Gordon et al., 2018).
The Cronbach’s Alpha’s for the questions in each concept (Table 1) were reported by Bartneck et al. (2009) to be above 0.7, thus determining that the questionnaire has sufficient internal consistency reliability.
Five HRI Concepts to Measure Human-Robot Interaction and Their Associated Questions
| HRI Factors | Description of Factor | Questions in Godspeed Surveys | Questions in Adapted Godspeed Survey |
|---|---|---|---|
| Anthrop omorphism |
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| Animacy |
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| Likability |
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| Perceived intelligence |
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| Perceived safety |
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| HRI Factors | Description of Factor | Questions in Godspeed Surveys | Questions in Adapted Godspeed Survey |
|---|---|---|---|
| Anthrop omorphism | The attribution of human characteristics, form, or behavior to a nonhuman object, such as animals, computers, or robots | Fake/natural Machinelike/humanlike Unconscious/conscious Artificial/lifelike Moving rigidly/moving elegantly | Fake/natural Machinelike/humanlike Artificial/lifelike |
| Animacy | The characteristic of being lifelike; the perception of life | Dead/alive Stagnant/lively Mechanical/organic Artificial/lifelike Inert/interactive Apathetic/responsive | Apathetic/ Responsive Silent/interactive Engaged/unengaged Absent/present |
| Likability | The association of an individual with positive impressions, especially first impressions | Nice/awful Friendly/unfriendly Kind/unkind Pleasant/unpleasant | Kind/unkind Friendly/unfriendly Dislike/like Caring/uncaring Unpleasant/pleasant Awfuil/nice |
| Perceived intelligence | The association of intelligence with a living creature | Incompetent/competent Ignorant/knowledgeable Irresponsible/responsible Unintelligent/intelligent Foolish/sensible | Incompetent/competent |
| Perceived safety | The perception of danger associated with any interaction or situation | Anxious/relaxed Agitated/calm Quiescent/surprised |
Source: Adapted from Bartneck et al. (2009).
Procedures
An exploratory study was conducted to identify which emojis to use as part of the experimental treatment to determine perceived emoji valence (Clark-Gordon et al., 2018). Unicode emojis (version 11.0) were used in this pilot study; they appear, with their potential meanings, in Table 2 (Full Emoji List, v11.0 2018).
Unicode Emojis Included in Pilot Test
| Emojis | Potential Meanings |
|---|---|
![]() | Big smile |
![]() | Laughing |
![]() | Winking |
![]() | Thinking |
![]() | Smile |
![]() | Clapping |
![]() | Smile |
| Emojis | Potential Meanings |
|---|---|
| Big smile | |
| Laughing | |
| Winking | |
| Thinking | |
| Smile | |
| Clapping | |
| Smile |
To determine if the use of emojis by the instructor had an impact on students’ perception of her human qualities, the instructor added emojis to her responses to students’ online discussion posts (added as an image in the Canvas LMS; Figure 2). The number of online discussions was three and involved discussion of writing assignments. The pretest and posttest for each group (treatment and comparison) were administered through the Canvas LMS using the Quiz (graded anonymous survey) function that allows respondents to remain anonymous while still earning extra credit points as an incentive for completing the pretest (5 points) and posttest (5 points). Researchers could not identify answers submitted by individual students, but students’ pretest and posttest responses could be matched for analysis.
Results
A paired t -test was conducted to examine students’ perceptions of their instructor’s presence following exposure to instructor emojis in online discussion compared to no exposure to emojis. A scale was created by summing student responses to the 14 survey items; Cronbach’s alpha showed strong reliability (α = .93). There was no significant difference in students’ perceptions of their online instructor when exposed to emojis (M = 55.15, SD = 10.52) compared to students who were not exposed to emojis (M = 62.58. SD, 10.33); t(23) = -.250, p = .810. These results indicate that emojis in online discussions are not sufficient to impact students’ perceptions of their online instructor. Therefore, the null hypothesis is rejected: the use of emojis in online discussions did not increase students’ perception of the online instructor’s human presence.
Conclusions
There are several possible explanations for why the use of emojis failed to impact students’ perception of instructor presence significantly: limited experience of instructor use of emojis in the context of course feedback, students’ limited exposure to the emojis because they did not read the instructor’s discussion feedback, and limiting the use of emojis to three online discussions. The small sample size (N = 8) may have impacted the results. The use of emojis may also be extended beyond online discussions to increase exposure. Replication of this study is warranted, with increased sample size and increased exposure to emojis. Too, replication is recommended because conveying instructor care, presence, and emotional investment in students in an online environment remains a challenge for many instructors. Using emojis as part of a robust approach to incorporating feedback with a human touch can improve student satisfaction and success.










