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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
Freda, Maria Francesca; Lemmo, Daniela; Auriemma, Ersilia; De Luca Picione, Raffaele; Martino, Maria Luisa – Qualitative Research Journal, 2023
Purpose: Consistent with current literature, which highlights the role of narration as a key tool for exploring the processes by which people construct the meaning of their critical experiences the authors propose a theoretical and methodological model to analyse the narratives of illness and identify any innovative aspects. The generative model…
Descriptors: Coding, Qualitative Research, Semiotics, Diseases
Moonhyun Han; Janghee Uhm – International Journal of Science and Mathematics Education, 2024
This qualitative case study investigated how computational models can help students engage in scientific practice and influence their emotional, epistemic, and conceptual aspects. Twenty-four sixth-graders were guided to conduct scientific practices as they predicted and modified the computational models on food web using StarLogo Nova. Three…
Descriptors: Grade 6, Thinking Skills, Computation, Models
Elanur Yilmaz; Hanife Akar – Asia Pacific Education Review, 2024
This study introduces the development of a new, transferable, customizable, authentic, and analytic framework for addressing different dimensions of teacher reflection. Given the emphasis on teacher reflection as a socially situated practice spawned by cognitive and affective aspects, this study covers four dimensions (i.e., breadth, depth,…
Descriptors: Reflection, Teacher Characteristics, Psychological Patterns, Elementary School Teachers
Flynn, Erin; Motiff, Marisa; Mueller, Megan K.; Morris, Kevin N. – International Journal of Behavioral Development, 2023
Emotion regulation is a key developmental skillset, but many existing measures rely on self-report or laboratory-based measurement approaches. This study aimed to develop a training and implementation protocol for the widely used Facial Expression Coding System (FACES) to be used in real-world settings with pre-recorded video data. A revised…
Descriptors: Middle School Students, Special Education, Nonverbal Communication, Training
Robbert Smit; Clemens Waibel; Rahel Schmid – Computer Science Education, 2025
Background and Context: To offer more experiences in the field, our study employed secondary school pre-service teachers as assistants in courses for secondary school students learning computer coding with the help of smart textiles. Objective: Did pre-service teachers assisting in CS courses have more highly developed pedagogical content…
Descriptors: Computer Science Education, Internship Programs, Field Experience Programs, Preservice Teachers
Padayachi, Sasha; Maistry, Suriamurthee Moonsamy – International Journal of Higher Education, 2022
This study investigates the implementation of the methodology, Interactive Qualitative Analysis (IQA) (Northcutt & McCoy, 2004) during the COVID-19 pandemic, to understand how non-major accounting students learn Accounting 101 in a threshold concepts-inspired tutorial programme. Even though IQA is a predominantly qualitative method, it…
Descriptors: Nonmajors, Accounting, Business Administration Education, Qualitative Research
Lustick, Hilary – International Journal of Qualitative Studies in Education (QSE), 2021
Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of 'work' (Hochschild, 1983). Accordingly, mentoring junior qualitative scholars also requires emotion work. Issues of race, gender, and…
Descriptors: Qualitative Research, Psychological Patterns, Data, Coding
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming