Search results

The purpose of this study was to investigate the effect of self-regulated programming learning on undergraduate students’ academic performance and motivation compared to traditional methods.

This study was conducted with an explanatory sequential mixed method. Participants consist of 31 undergraduate students studying in the department of computer and instructional technologies education. The students were separated into two groups as experimental (n = 15) and control (n = 16) in the robotic programming course. Academic performance tests, programming motivation scale and interview form were used as data collection tools. After collecting quantitative data, interviews were conducted with the students regarding their academic performance and motivation.

The results indicated that the self-regulated programming learning process can contribute positively to students’ academic performance and motivation compared to traditional methods. Students stated that self-regulated learning strategies can positively affect their academic performance and motivation.

In this study, a self-regulated learning support system was designed to encourage students to use self-regulated learning strategies. This study has the potential to contribute to the gap in the literature, especially as a study of adapting the phased model of self-regulated learning to programming teaching. Instructors can use the self-regulating programming learning framework by adapting it to different disciplines.

Self-regulated learning (SRL) is crucial for successful learning and lifelong learning in today’s rapidly changing world, yet research has shown that many learners need support for SRL. Recently, learning analytics has offered exciting opportunities for better understanding and supporting SRL. However, substantial endeavors are still needed not only to detect learners’ SRL processes but also to incorporate human values, individual needs and goals into the design and development of self-regulated learning analytics (SRLA). This paper aims to examine the challenges that lifelong learners faced in SRL, their needs and desirable features for SRLA.

This study triangulated data collected from three groups of educational stakeholders: focus group discussions with lifelong learners (n = 27); five teacher interviews and four expert evaluations. The groups of two or three learners discussed perceived challenges, support needs and willing-to-share data contextualized in each phase of SRL.

Lifelong learners in professional development programs face challenges in managing their learning time and motivation, and support for time management and motivation can improve their SRL. This paper proposed and evaluated a set of design principles for SRLA.

This paper presents a novel approach for theory-driven participatory design with multistakeholders that involves integrating learners, teachers and experts’ perspectives for designing SRLA. The results of the study will answer the questions of how learners’ voices can be integrated into the design process of SRLA and offer a set the design principles for the future development of SRLA.

This study examines learner satisfaction and success as mechanisms through which online learning quality translates into learners’ continuous intentions of use by extending DeLone and McLean’s information system success model. It also examines the moderating effect of perceived supervisory support and learners’ self-regulation on online learning quality in Higher Education Institutions.

Survey data were obtained from 540 students in both private and public higher institutions of learning in Ghana. The Partial Least Squares – Structural Equations Modelling (PLS-SEM) technique was used to test the hypothesised relationships.

The results revealed that system quality emerged as the single most important variable in the DeLone and McLean model, that influences learner success and satisfaction. Further, learner satisfaction has a significant positive effect on learner attitudes, whilst self-regulation was found to moderate the relationship between online learning quality and learner success as well as learner satisfaction.

The study appears to be among the first to explore the inter-relationship among online learning environment quality and learner attitudes and moderating factors perceived supervisory support and self-regulation. The study highlights insightful practical implications for students, faculty and administrators of higher institutions.

This study aims to assesses the factors that affected the development of cloud-based accounting education (DCBAE) and students' academic performance at Oman Universities.

In this paper a questionnaire was used to collect data for a sample of students. Partial least squares (PLS) were used to assess the hypotheses and model.

Results indicate that human factors and cultural and social factors have a direct positive effect on the DCBAE and students' academic performance.

This study is carried out after five semesters since the beginning of the COVID-19 pandemic. Thus, it can help universities (accounting education in particular) in the Sultanate of Oman know the factors that affect the development of accounting education and adopt policies and strategies that depend on cloud computing in education operations, even after the COVID-19 pandemic.

The main contribution of this study is to evaluate the factors that affected the DCBAE and the academic performance of students in the Sultanate of Oman from March 15, 2020 to June 2022, a period that witnessed the application of cloud-based education, either in whole or in part using a questionnaire about the opinions of students.

This case study reviews a group coaching and mentoring (GCM) change model and its significance in dissolving barriers and promoting equity in virtual learning environments. The purpose of this paper is to examine the model’s approach to shifting instructor mindsets to align with institutional core values and initiatives that best serve a twenty-first century adult learner.

The change model, grounded in GCM, metacognition, self-regulated learning, and community of practice theory, incorporates participatory action research design focusing on cycles of action, reflection, and evaluation.

This study illustrates the change model’s success in moving educators toward deeper understanding of self and individual student differences. It further showcases how professionals adapt and improve practices using self-regulated learning and metacognition to better serve the population they teach.

The GCM framework improved engagement. The design, while implemented in a higher education arena, is applicable to other entities seeking to bridge gaps using metacognition and self-regulated learning to become adaptable and inclusive.

The change model, recipient of one of this year’s Effective Practice Awards from the Online Learning Consortium (2017), is recognized for innovation and replicability in and beyond higher education.

The aims of this study were (1) to examine the relationships among achievement goals, self-concept, learning strategies and self-regulation for post-secondary Indigenous Australian and Native American students and (2) to investigate whether the relationships among these key variables were similar or different for the two groups.

Students from the two Indigenous groups answered questionnaires assessing the relevant variables. Structural equation modelling (SEM) was used to analyse the data. Structure-oriented analysis was used to compare the two groups in terms of the strengths of the pathways, while level-oriented analysis was used to compare mean level differences.

Self-concept was found to positively predict deep learning and self-regulated learning, and these effects were mediated by achievement goals. Students who pursued mastery and social goals had more positive educational outcomes. Both structure and level-oriented differences were found.

Drawing on two distinct research traditions – self-concept and achievement goals – this study explored the synergies between these two perspectives and showed how the key constructs drawn from each framework were associated with successful learning.

To improve learning outcomes, interventions may need to target students’ self-concept, mastery-oriented and socially oriented motivations.

Supporting Indigenous students in their post-secondary education is an imperative. Psychologists have important insights to offer that can help achieve this noble aim.

Research on Indigenous students has mostly adopted a deficiency model. In contrast, this study takes an explicitly positive perspective on Indigenous student success by focusing on the active psychological ingredients that facilitate successful learning.

This study aims to explore whether English-language learners (ELLs) who have struggled to pass a high school exit exam (HSEE) self-report that they are able to self-regulate their learning. It is of interest to find out whether, in addition to limited English proficiency, these students are struggling to exert control over their learning.

Using semi-structured interviews, the study sought the perspectives of eight ELLs who had repeatedly failed their state-mandated HSEE. Interviews were transcribed using a modified grounded theory approach, and thought units were coded with a focus on the following elements of SRL: self-understanding, goal directedness, flexibility and strategy use.

Results indicated that all interviewees demonstrated a greater, more specific awareness of their academic weaknesses than their strengths. Half the interviewees demonstrated an awareness of how they learned. Similarly, half of them verbalized that they approached learning flexibly. None of the interviewees reported using evidence-based strategies. However, all interviewees were goal-oriented.

This research approach may limit the external validity of the results. The richness of the data may also be limited because interviews were conducted in English.

The findings from this study have implications for educating ELLs in an era of standards-based education and helping them pass HSEEs.

These results also have implications for advancing social justice through informed educational policy.

This paper fills a gap in the literature by extending the theory of SRL, which is associated with academic success in diverse students, to ELLs, a rapidly growing demographic in US public schools that is struggling to achieve academic success.

Emergency remote teaching is not the same as a systematic, carefully thought out, and designed online learning system. Emergency remote teaching is best perceived as merely a first step towards migrating into a fully fledged, and carefully designed, virtual or online mode of study. Notwithstanding, this chapter provides a theoretical explanation that justifies the relevance and importance of emergency remote teaching in higher education practice, in light of the global COVID-19 pandemic and related discontinuities. It asserts that emergency related teaching is justified by the urgent need to maintain continuity of teaching and learning and to avoid knowledge and skills decay. A systematic approach to evaluate the effectiveness of emergency remote teaching involves measuring variables across four dimensions; that is, context, input, process, and outcomes. Weighting these dimensions is necessary to ensure that context, input, and process are prioritised above outcomes because the essence of the teaching model, when implemented, is to get it in place swiftly in order for teaching and learning to continue. The effectiveness of emergency remote teaching is best assessed on the basis of its speedy set-up and implementation to maintain continuity of teaching, not on student outcomes. The chapter investigated the approach that a sample of colleges and universities have followed to evaluate their model of emergency remote teaching and contrast it with theory. The approach found in practice was not aligned to best practice. Based on the evidence, the chapter proposes an evaluation framework that institutions can adopt specifically for evaluating emergency remote teaching practice.