Impact of Programming Exposure on the Development of Computational Thinking Capabilities: An Empirical Study

Today’s digital society has turned the development of students’ computational thinking capabilities into a critical factor for their future success. As higher education institutions, we need to take responsibility for this development in every degree course we offer, and provide students with the kind of subjects and activities that best contribute to this aim. In this paper, we study the impact of following an introductory programming course on the development of the computational thinking capabilities of university students. In order to achieve this aim, a concurrent cohort observational study was carried out in which we measured both the subjective and objective computational thinking capabilities of 104 participants (50 first year students enrolled on a Bachelor’s degree course in Psychology at the Catholic University of Murcia (UCAM), and 54 first year students enrolled on a Bachelor’s degree course in Health Information Systems at the University of Alicante (UA)). The statistical procedures applied to test our hypotheses were a two-way mixed ANOVA, a paired-sample T-test and an independent-sample T-test. The data shows that the group at UA had an initial higher subjective perception of their computational capabilities than the group at UCAM. This perception was supported by their objective scores, which were also significantly higher. However, the subjective assessment of computational capability of the UA group diminished after exposure to the programming course, contrasting with the fact that their objective computational capabilities improved significantly. In the UCAM group, both subjective and objective capabilities remained constant over time. Based on these results, we can conclude that computational thinking capabilities are not developed naturally, but need to be trained. Providing such training to all our students, and not only to those enrolled on undergraduate degrees in engineering, is of paramount importance to allow them to face the challenges of their future professions. This paper empirically demonstrates the extent to which exposing subjects to a programming course may contribute to this aim.This work was supported in part by the Spanish Ministry of Economy, Industry, and Competitiveness (Access@City) under Contract TIN2016-78103-C2-2-R, in part by the Spanish Ministry of Science, Innovation, and Universities under Contract RTI2018-098156-B-C54, in part by the Co-Financed by FEDER funds (MINECO/ FEDER/UE), and in part by the EduTech Project co-funded by the Erasmus+ Programme of the European Union under Grant 609785-EPP-1-2019-1-ES-EPPKA2-CBHE-JP

Learning Analytics for the Formative Assessment of New Media Skills

Recent theories of education have shifted learning environments towards student-centred education. Also, the advancement of technology and the need for skilled individuals in different areas have led to the introduction of new media skills. Along with new pedagogies and content, these changes require new forms of assessment. However, assessment as the core of learning has not been modified as much as other educational aspects. Hence, much attention is required to develop assessment methods based on current educational requirements. To address this gap, we have implemented two data-driven systematic literature reviews to recognize the existing state of the field in the current literature. Chapter four of this thesis focus on a literature review of automatic assessment, named learning analytics. This chapter investigates the topics and challenges in developing new learning analytics tools. Chapter five studies all assessment types, including traditional and automatic forms, in computational thinking education. Computational thinking education, which refers to the teaching of problem-solving skills, is one of the new media skills introduced in the 21st century. The findings from these two literature reviews categorize the assessment methods and identify the key topics in the literature of learning analytics and computational thinking assessment. Studying the identified topics, their relations, and related studies, we pinpoint the challenges, requirements, and opportunities of using automatic assessment in education. The findings from these studies can be used as a guideline for future studies aiming to enhance assessment methods in education. Also, the literature review strategy in this thesis can be utilized by other researchers to develop systematic data-driven literature reviews in future studies

The Role of a Peer-Led Academic Intervention in College Students\u27 Development of Self-Regulated Learning: A Person-Centered Approach

Due to its unsupervised nature, undergraduate education requires students to manage their own learning. They need to use self-regulated learning (SRL) strategies in order to achieve academic success. However, college students often have insufficient regulatory skills and strategies, suggesting the need for substantive and practical support. Supplemental Instruction (SI) is a well-recognized academic intervention that utilizes peer-led study groups for difficult college courses, through which students can develop their SRL abilities. This study focuses on the role of the SI program in college students’ development of SRL from a person-centered perspective. First, this study examines the heterogeneous effects of the SI intervention on students’ development of SRL by combining latent profile modeling and propensity score matching. Second, it explores the changes in student SRL profiles over the intervention period and determines factors affecting the prediction of such changes using latent transition modeling. Results identify three distinct student profiles: competent regulator, self-confident regulator, and goal-oriented regulator. Within the competent regulator profile, both SI and non-SI attendees’ overall SRL scores significantly decreased over time, though non- SI attendees showed a greater downturn. For the self-confident regulator profile, only SI attendees’ overall SRL scores increased. Both SI and non-SI attendees in the goal-oriented regulator profile had small decreases in scores, which were not statistically significant. Regarding students’ longitudinal transitions between SRL profiles, students in the most desirable profile (competent regulator) remained most stable over time. Students’ SRL in the goal-oriented regulator profile was most malleable in a positive way; approximately 40% of these students moved into the competent regulator profile. In addition, students whose decision to attend the SI sessions was more mastery-oriented tended to fall into more positive transition groups. Furthermore, students whose levels of self-confidence in learning, critical thinking skills, and group work skills increased as a result of their participation in SI sessions were more likely to become members of more positive transition groups. The findings of this study extend previous work by longitudinally examining individual differences in college students’ SRL development. They also provide significant implications for the future design of more targeted interventions