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Abdullahi Yusuf; Amiru Yusuf Muhammad – Journal of Educational Computing Research, 2024
The study investigates the potential of anxiety clusters in predicting programming performance in two distinct coding environments. Participants comprised 83 second-year programming students who were randomly assigned to either a block-based or a text-based group. Anxiety-induced behaviors were assessed using physiological measures (Apple Watch…
Descriptors: Novices, Programming, Anxiety, Coding
Carol Ann Malphrus Hudgens – ProQuest LLC, 2022
This study was designed to determine whether the alignment of state and local priorities was a predictor of improving results, specifically the reduction in the percentage of inexperienced principals and percentages of low-performing schools and the increase in graduation rates. The population of this study included 115 North Carolina school…
Descriptors: Alignment (Education), Educational Improvement, Court Litigation, Principals
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Bardhoshi, Gerta; Um, Byeolbee; Niles, Jennifer; Li, Huijuan; Han, Eunae; Brown, Margaux – Professional School Counseling, 2022
This convergent mixed-methods study examined the distinct burnout profiles of novice school counselors and their respective professional experiences. A cluster analysis yielded a three-factor solution revealing unique burnout profiles. Qualitative analyses identified job-related challenges and resources impacting the work performance of novice…
Descriptors: Novices, School Counselors, Burnout, Profiles
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AlKhemeiri, Ahmed Khamis; Khalid, Khalizani; Musa, Norwahida – European Journal of Training and Development, 2021
Purpose: Employees with high career competencies are more successful in career development. However, it is unclear whether proactivity matters for early-career employees. Thus, this study aims to investigate the influence of career competencies and proactive personality on career adaptability and the moderating role of proactive personality in…
Descriptors: Competence, Career Development, Work Experience, Novices
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Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
DeMatthews, David E.; Reyes, Pedro; Carrola, Paul; Edwards, Wesley; James, Lebon – Texas Education Research Center, 2021
Steady school leadership can support student achievement and equity-related outcomes, but the principalship is becoming more stressful with increasing demands, duties, and expectations. Burnout is one of several factors that contribute to principal turnover which often destabilizes a school community. Individual and organizational factors…
Descriptors: Novices, Principals, School Administration, Burnout