This study empirically investigates factors predicting students’ behavioral intentions towards the continuous use of mobile learning. Two baseline models namely the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) with the addition of habit as an exogenous construct were used for this purpose. The data were collected from 171 engineering undergraduates and analyzed based on structural equation modeling. The results suggest (1) Behavioral intention was positively and significantly influenced by mobile learning self-efficacy, attitude, and perceived usefulness; (2) Attitude was positively and significantly influenced by subjective norm, perceived usefulness, and mobile learning self-efficacy; (3) Mobile learning self-efficacy was only influenced by perceived ease of use and (4) Habit of using WhatsApp did not influence perceived usefulness nor perceived ease of use but had a positive and significant relationship with mobile learning self-efficacy. Nonlinear relationships were also observed between (1) Behavioral intention with perceived ease of use, perceived usefulness, and subjective norm (2) Habit with perceived usefulness and mobile learning self-efficacy. The nonlinear findings indicate that the relationships between these constructs, which were previously reported as linear, are prone to saturation and warrants further investigation. Our findings also stipulate a practical reference for higher educational institutions targeting to practice mobile learning for engineering undergraduates.

The concept of Higher-Order Thinking Skills (HOTS) is one of the highlighted aspects in producing human capital of high quality. However, the level of HOTS among students in Malaysia is still at a lower stage. Among the causes of this problem is the learning strategy used in classroom, which is less effective in creating and enhancing HOTS optimally. Therefore, the main focus in this study was to investigate the potential role of an inductive reasoning strategy using Geogebra in increasing the students’ level of HOTS. Besides, it also aimed to identify the relationship between HOTS and students’ inductive reasoning for the topic of Graphs of Functions II. The design of study was quasi-experimental which involved 94 form-four students from a secondary school in Johor. The sample of this study was divided into three groups: (1) Treatment Group 1 (inductive reasoning strategy using Geogebra); Treatment Group 2 (inductive reasoning strategy); and (3) a control group (conventional). The instrument of the study comprised a set of HOTS questions and a worksheet based on an inductive reasoning strategy using Geogebra. Using the Multivariate Analysis of Variance (MANOVA), it was found that the overall HOTS level of the students, which included applying, analysing, evaluating and creating skills, could be enhanced through this strategy. The findings also show that there was a positive relationship between HOTS and inductive reasoning. In conclusion, an inductive reasoning strategy can provide positive impacts on students’ HOTS in the topic of Graphs of Functions II

Micro-credentials have gained much popularity in recent years, and their popularity has skyrocketed due to emergency remote teaching instigated by the pandemic. It has been defined as a platform that provides credentials based on validated competencies. Nevertheless, in Malaysian HEI, such a concept is still novel and identifying insights on the benefits, challenges, and application are still scarce. Similarly, it was observed that there is a lack of observation on how students’ digital learning identity and their perception of professional relevance are influenced by such platform. Henceforth, based on the adapted enriched virtual model approach, a micro-credentials course was implemented to complement the new “normal” classes for a pre-service teacher’s instructional design course. A mixed-method triangulation design was used to explore the qualitative findings operationalized by open-ended questions (N = 74) with data obtained from the Digital Learning Identity Survey (DLIS) and Constructivist On-Line Learning Environment Survey (COLLES) (N = 72). The findings indicated that respondents had an overall positive perception of the use of micro-credentials to complement and overcome online learning challenges mainly due to substandard internet connectivity; nevertheless, they are unaware of the value of such credentials in their future profession. Conversely, their new identity as digital learners and experiences with a blended approach of online learning, especially with micro-credentials, was successful in shaping their identity as aspiring educators that embrace technology for teaching and learning.

Previous studies revealed that many students cannot perform well when it comes to word problem-solving questions. There are various problem-solving strategies that can be applied to help students to overcome the problem. Visualisation techniques in learning have been used to help students enhance their conceptual understanding of the mathematical problem-solving and the use of bar model visualisation technique is one of the strategies. This study aims to investigate students’ achievement in mathematical problem-solving after applying the Bar Model and to explore students’ experiences while applying the technique. This study employed a pre-experimental design of the quantitative research. There were 32 participants of year three students. The instrument used in this research consists of questions of pre-test and post-test and a semi-structured interview. Data were analysed using SPSS 20.0 software and thematic analysis. The test results showed that there is a significant difference in participants’ mathematical problem-solving achievement. The analysis of semi-structured interview transcripts revealed that level of understanding and motivation influence students’ performance. Findings of this study showed that students perform better after the implementation of the Bar Model in mathematical problem-solving. This study can provide an alternative or guidance for teachers to improve students’ mathematical problem-solving skills.

Technology acceptance research explains the adaptation of learning technology by accounting for the use of technologies. This mixed-method study investigated the use of Learning Management Systems (LMS) for distance education in Malaysia using the extended Technology Acceptance Model (TAM). Limited studies on LMS for Malaysia higher education studies focusing on distance learning are warranted due to the diversity of resources, maturity, and education as working adults contrasting from traditional undergraduates. The survey on 205 respondents revealed that the extended TAM, which includes perceived resources, explained variance in attitudes (R2= 56.2%) and actual use (R2= 34.5%) adequately. Concurrently, indicating perceived ease of use and perceived resources as a determiner for the attitude which predicts actual use. Subsequently, a semi-structured interview on 15 respondents supported this as it was inferred that respondents’ attitude was mainly determined by their perception of the role of LMS to facilitate learning activities. Furthermore, inconveniences in accessing learning contents and lack of interactive learning activities are the respondents’ primary concern, reflecting on the predictive role of perceived ease of use. The findings also provide appropriate guidance for the pedagogical design and LMS implementation for distance education based on affordance and inclusivity.