Scale Analysis

The Approaches to Learning and Studying Inventory (ALSI-36) is a psychometric tool designed to assess students’ approaches to learning and studying. It is part of the Experiences of Teaching and Learning Questionnaire (ETLQ) (Entwistle, McCune, & Hounsell, 2002). The inventory focuses on students’ experiences related to studying a specific course or subject. The long version (ALSI-36) explores general learning approaches, while the short version (ALSI-18) focuses on specific learning experiences.

Objective

The primary goal of the ALSI-36 is to identify and categorize learning strategies used by students. It helps understand how students engage with their studies and predicts academic performance. It provides insights into effective and ineffective study habits, allowing educators to improve teaching strategies.

Question Calibration

The long version consists of 36 items, while the short version includes 18 items. The questionnaire measures five key factors: Deep approach – Engagement with understanding and meaning. Surface approach – Rote learning and minimal engagement. Monitoring study – Reflection on learning effectiveness. Organized studying – Use of structured study habits. Effort management – Ability to regulate study effort and persistence. Responses are given on a 5-point Likert scale (“Strongly Agree” to “Strongly Disagree”).

Statistical Analysis

Students with higher academic performance tend to score higher on the ALSI, particularly in: Deep learning approaches, Monitoring study strategies, Organized studying. Lower scores may indicate reliance on surface learning strategies, which are less effective in knowledge retention and academic success.

Validity & Reliability

Research confirms that the ALSI is a valid and reliable predictor of student success. Studies indicate high internal consistency, making it a useful tool for academic research and educational interventions.

References

Entwistle, N., McCune, V., & Hounsell, D. (2002). The Experiences of Teaching and Learning Questionnaire (ETLQ).

Further studies demonstrate its applicability in academic performance prediction and teaching evaluation.

For research support, protocol development, data collection, and analysis using ALSI-36, contact Datanalysis., protocol development, data collection, and analysis using ALSI-36, contact Datanalysis.