Title from first page of PDF document. Includes bibliographical references (p. 42-47).

Growth mindset is an important component for a journey towards self-actualization. It is unknown if whole-person learning can assist development of that growth mindset for first-generation learners. The purpose of this quasi-experimental study was to examine if exposure to whole-person learning positively influences a growth mindset by exploring the relationship between whole-person learning and a growth mindset in first-generation learners. Whole-person learning was presented as a vehicle for developing that growth mindset towards self-actualization. Dweck's Mindset Survey scores were collected from first-generation learners who participated in orientation courses either with or without whole-person learning in 4 institutions (n = 177) using a pretest/posttest control group design. A mean analysis of the overall pretest and posttest score was conducted using a factorial ANOVA. No significant change in mindset was detected from the pretest (first week of orientation courses) to posttest (last week of orientation courses) based on exposure to whole-person learning. It was discovered through one-way ANOVA demographic analysis that Black first-generation learners had a significantly higher mindset mean score (7.1) than White first-generation learners. While it is still unknown if exposure to whole-person learning pre-disposes first-generation learners towards growth mindset, there was a positive implication in that Blacks appeared more pre-disposed to a journey of self-actualization when exposed to whole-person learning. The social change benefit for this implication is that an increased focus on affective learning may lead to higher success rates within academics, career, and personal satisfaction for Black first-generation learners. Future researchers should include faculty engagement with whole-person learning and the development of an instrument more conducive to measuring mindset for adult learners.

Teacher clarity supports both cognitive and affective learning for all learners. The scholarly literature lacks research related to teacher clarity in nonlecture learning environments. The purpose of this qualitative study was to discover teacher clarity strategies that effectively promote student learning, particularly in nonlecture learning environments. The conceptual framework involved cognitive load theory and constructivism. The research questions explored how highly effective teachers experience clarity to promote student learning in nonlecture learning environments and what innovative strategies highly effective teachers practice to ensure clarity in nonlecture learning environments. For this in-depth qualitative interview study, data were collected through virtual synchronous focus groups and interviews with 10 State Teachers of the Year and State Teacher of the Year finalists and analyzed using manual and digital coding of emergent themes. Key nonlecture teacher clarity strategies discovered emphasized the importance of interaction, facilitation, and responsiveness through the establishment of safe and inclusive learning environments, active monitoring of student work and understanding, individualized application of strategic ambiguity, and utilization of technology tools. Further research is recommended in strategic ambiguity, interaction through facilitation, safe and inclusive environments, and teacher clarity through technology tools. By contributing to the body of knowledge of educational practices that improve student learning, my study has the potential to empower individual teachers to benefit all learners, and to support organizations in delivering equitable instruction in diverse secondary school settings.

Affective learning forms part of all kinds of educational experiences, regardless of whether the primary focus of learning is on the psychomotor or the cognitive domain. When students are exposed to these different types of educational experiences, their feelings or emotions will be stirred (Bastable 2003: 333). The aim of this study was to investigate the affective experiences of students who were enrolled for an online module, as part of their study programme. The study specifically aimed to investigate the meanings that students attached to their affective experiences during the module. The rationale of this study was based on the fact that students have affective experiences that influence their decision to persevere with a course. The purpose of this study was thus to explore and interpret the participants’ affective experiences in an online learning environment and to discover important categories of meaning (Marshall&Rossman 1999:33). The basis for the study was the fifth module of a two-year tutored master’s degree in computer-assisted education. This module, with its focus on e-learning, was presented entirely online for a period of six weeks. A game was played in cyberspace; and as the learning experiences of participants were based on surfing the Web, the game was called CyberSurfiver. In the e-learning environment, participants had to interact and communicate mainly by means of e-mail, Internet groups, and the online learning platform WebCT. Participants could also communicate synchronously by means of the Internet-based synchronous tool called Yahoo! Messenger. A qualitative approach was used for this research. A case study was chosen as a design for this study because it reflects particularistic, descriptive and heuristic characteristics. On the one hand, the case study could be related to the online culture but, on the other hand, the study aimed at interpreting meaning attached to experiences within the online culture. This study can be seen as falling within the constructivist-hermeneutic-interpretivist-qualitative paradigm. In this study, two focus group interviews were used as the principal method of data collection. The main purpose of the focus group interviews was to collect data about the affective experiences of participants. The first category identified during the data analysis and coding process of this study was called Curative Factors. The second category was called Process of Affective Development. It was concluded that the participants’ affective development could be compared to the levels of Krathwohl’s Taxonomy. The participants’ affective development were further assessed by means of a learning cycle model developed by Kort and Reilly (2002a:60-61). A third category namely <c>Inhibiting Factors was identified. The findings of this study emphasise the importance of the recognition of the holistic nature of the online students and their experiences, which imply that affective development cannot be separated from cognitive and psychomotor development. / Thesis (PhD (Curriculum Studies))--University of Pretoria, 2006. / Curriculum Studies / unrestricted

As sustainability challenges increase in both frequency and magnitude, there is a growing need for leaders who can deal with such complexity. Education for Sustainable Development (ESD) develops knowledge,skills, and attitudes to enable the development of such leaders. This thesis focuses on the elusive “attitude” piece, more widely referred to as the affective domain. The research team interviewed experts on affective learning in either higher education or ESD contexts. Additionally, staff members from the case study organisation, Teach for Austria (TFA) were interviewed to determine how affective learning can be further developed within their fellow program. The five-level model (5LM) was employed to frame the findings of each interview set to provide recommendations for TFA. A feature of the Framework for Strategic Sustainable Development, the 5LM provides a strategic planning approach that allows for easier adaptation and implementation of the findings for other programs that wish to learn from this research. Therefore, this thesis serves to provide recommendations for developing affective learning in sustainability leadership programs. Making affective learning explicit and empowering one to reflect their own affective domain and their perspective on the world can have a positive impact on their life, as well as on their environment.

The goal of learning analytics is to optimize learning and the environments in which it occurs. Since 2011, when learning analytics was defined as a separate and distinct area of academic inquiry, the literature has identified a need for research that presents evidence of effective learning analytics, as well as, learning analytics research that is conducted in conjunction with learning theory. This study uses Efklides' metacognitive and affective model of self-regulated learning (MASRL) to define cognitive, metacognitive, and affective variables that can explain students' learning outcomes in hybrid/online sections of Calculus I in the 2020-21 academic year. Cognitive variables were measured according to the cognitive operational framework for analytics (COPA). Metacognitive variables were defined according to the ways in which students interacted with the course content in the learning management system (LMS) and supplemental instruction, and affective variables were measured by ways students gave evidence of their affective states, such as in discussion board posts. All variables were compared across the course learning design, activities, and outcomes. Binary logistic regression revealed five significant variables: two cognitive, one metacognitive, and two affective. Thus, this study provided a learning analytics, evidence-based link between self-regulated learning theory and learning design, activities, and outcomes. In addition, implications for students, instructors, and learning theory were explored, as well as, the qualifications of this study as evidence of effective learning analytics.

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