An Investigation of Multilingual Domestic University Student Perceptions of English for Academic Purposes.

It is well-established that English for academic purposes (EAP) programmes are critical for academic success in English-medium universities. Nonetheless, there is significantly less research on how EAP programmes impact multilingual domestic university students, compared to that of international students who speak English as a foreign language. While an earlier study on a university in Singapore found that an EAP programme had a statistically significant and positive intervention effect on students' grade point average of the first semester upon matriculation, this study sought to investigate the perceptions of students from the same university, as this would contribute to how EAP programmes could be refined to better support learning. Semi-structured interviews were conducted with 50 students invited based on a maximum variation strategy. Based on the thematic analyses undertaken, four themes (i.e., programme delivery, linguistic improvement, learning transfer and change in self-efficacy) were identified and discussed. These themes contributed to the formulation of SILVER, an innovative framework of components for consideration in EAP course design and delivery within higher education.

Measuring Learner Satisfaction of an Adaptive Learning System.

Tertiary educational institutions have continually implemented various educational technologies to support student learning. An example is adaptive learning systems, within which learners take ownership of their learning experience and accelerate future learning. Despite the importance of considering learner satisfaction in the development of such systems given how it has been widely acknowledged as an indication of the success of e-learning systems, research in the area of adaptive learning technologies for education has concentrated more on tailoring instruction to implement personalised learning. A review of instruments measuring learner satisfaction of virtual learning environments found that the learner satisfaction questionnaire (LSQ) that was developed to measure learner satisfaction of e-learning systems, and preliminarily validated by means of exploratory factor analysis, was most suitable for adaptation. This study sought to adapt and validate the LSQ for the purpose of measuring learner satisfaction of an adaptive learning system developed in-house. A total of 121 tertiary students recruited via availability sampling took part in this study. Hierarchical confirmatory factor analysis was performed as part of the validation. Results presented the adapted LSQ as a 14-item instrument that can be readily deployed on a broad scale basis. The adapted LSQ also yielded valid and reliable satisfaction scores both at the subscale as well as the overall scale level. Practical implications are discussed, noting that such scores could inform the further development and refinement of AdLeS or similar systems, with the view of benefiting students.

Supporting Student Learning Needs in Tertiary Education: Institutional Support Structures Based on the Institutional Support Questionnaire.

This article presents and focuses on the Institutional Support Questionnaire (ISQ) that was developed and validated to complement the Learning Needs Questionnaire (LNQ). While the LNQ, validated and published earlier, assessed students' perceived learning needs, the ISQ assesses students' psychological perspectives of their institution, particularly how they perceive their institution supports their learning. Both questionnaires work in tandem to support resource optimisation efforts in establishing targeted academic support structures within teaching-focused tertiary institutions. This study found that the 42-item ISQ had adequate psychometric properties and that institutional support could be represented by four factors (i.e., academic competency support, teaching practices, tutors' characteristics, and use of technology in instruction) that reflected in large part the factors characterised by the LNQ (i.e., perceived academic competency, time management, preferred tutors' characteristics, and use of technology). Practical applications of the use of both the ISQ and LNQ (i.e., how both could be applied in a tertiary education setting to identify perceived students' learning needs and whether an institution is providing adequate support to meet these needs) and limitations on their use are discussed.

A Rasch Analysis of Students' Academic Motivation toward Mathematics in an Adaptive Learning System.

Despite the criticality of considering student academic motivation as it influences learning, research within the field of adaptive learning technologies for education has so far focused more on customising instruction to implement personalised learning, than investigating how personalised learning is associated with learners' motivation. Given this, a robust instrument is required to gather information about student academic motivation within the context of adaptive learning technologies. This study sought to validate the Academic Motivation Toward Mathematics Survey (AMTMS) currently used to measure motivation based on self-determination theory in mathematics education at pre-tertiary levels (grades 11 and 12) in Asia. A total of 196 participants recruited via availability sampling took part in this study, after interacting with an in-house mathematics adaptive learning system within a tertiary educational institution. The validation was performed based on modern test theory given that it overcomes some limitations of classical factor analytic approaches. Results supported the factorial structure of the AMTMS but 12 of the original 21 items had to be rescored to establish ordered thresholds. Further, the bifactor equivalent solution suggested the possibility of reporting a singular motivation index comprising the five factors within the AMTMS. Along with the results, this study offers researchers a robust and validated instrument to measure motivation toward mathematics that can be used within an adaptive learning environment.