Optimization of mobile learning in land surveying material for vocational high school students: A preliminary study

Since the beginning of the COVID-19 disease in late 2019, a majority of the learners from Higher Education Institutions (HEI) have resorted to blended and distance learning. There has been extensive discussion concerning distance learning; however, the aspects that motivate learners to use mobile phones for learning are yet to be explored comprehensively. This paper identifies the aspects that could potentially motivate learners to start using mobile devices for learning, which is referred to as mobile learning (m-Learning); it motivates the learners to participate in studies. Such is the case because a majority of the learners need to find time to focus on studies. This is especially significant for remote studying because it brings several challenges like domestic work and work-life balance that need to be ensured along with studies. Furthermore, learners may miss online classes due to lack of stable connectivity. This is where m-Learning has its advantages since it is independent of place and time. With the intent to provide HEI learners with an appropriate learning environment, this paper comprises a review of previous research concerning m-Learning design. It is understood that the situation and age of an HEI learner should be the basis for determining the andragogical factors. It is suggested that future research in this domain focus on assessing the factors that promote m-Learning among HEI learners so that these individuals can continue education despite having physical distance from their peers.

Section: Mobile Learning Conceptmentioning

confidence: 99%

Mobile Learning and Life-long Learning: Nurturing Higher Education Students' Learning in the Face of Uncertainty

Sabri,

Shuib,

Murad

2024

“…The findings were based on the results of the study. Rahayu & Kuswanto (2021) and Anggara et al, (2023) conducted the research presented in this work.…”

Section: Introductionmentioning

confidence: 99%

AI-Enhanced Teaching Materials for Education: A Shift Towards Digitalization

Syahrizal,

Yasmi,

Mary

2024

Considering recent technological advances and the growing prevalence of digitalization, Islamic educational instruction and training will need to adopt a fresh perspective. The field of artificial intelligence offers a path for additional research that has the potential to have a favorable impact on both the efficiency and the development of competencies. This article describes the process followed to create multimedia-based teaching materials for Islamic religious education subjects used in Senior High Schools in West Sumatra. These materials were designed to assist Islamic education students with their academic pursuits. While developing this model, the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) services that Dick and Carry developed were utilized during the design phase. In Islamic education, students engage in hands-on learning by interacting with previously crafted designs and observing how an evaluation of the model is built through time. These findings, implications, and potential future research areas involving artificial intelligence in Islamic religious education and training at Indonesia's senior high school level will be discussed.

“…This approach necessitates the use of specialized equipment such as fingerprint scanners, palm scanners, and DNA analysers to collect data for a large number of individuals. In the majority of biometric applications and targets, the device must be physically touched in order to obtain data (Liew, Hani, Radzi, & Bakhteri, 2016;Anggara et al, 2023;Ateş and Khameneh, 2023). Like biometrics, this approach allows for the differentiation of an individual's physical characteristics and is extensively utilized in security settings.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Classroom Application of Facial Recognition Techniques through Internet of Things (IOT) Devices

Airuddin,

Othman,

Westergren

2024

In the contemporary era, technology has become an indispensable component of our daily lives, augmenting our existence in manifold ways. Notably, face recognition and Internet of Things (IoT) have undergone significant advancements in performance over the last few years. This phenomenon can be attributed to two factors namely, optimization of cost and time in the classroom, while simultaneously ensuring accuracy in attendance, and the ability to connect with electrical equipment automatically. The current study proposes an automatic smart classroom application that utilizes the concepts of IoT and face recognition. Specifically, the application relies entirely on face detection and recognition to automatically detect the presence of students in the classroom and mark their attendance. Moreover, the application also provides advanced technology that enables automatic switching on of electrical power, including but not limited to lamps, fans, LCDs, and air conditioning systems. This feature not only reduces energy consumption but also allows for monitoring of units consumed. The proposed solution represents a significant step towards establishing a smart classroom. Results and analysis of the IoT solution demonstrate that it accelerates the availability process in the classroom without requiring human intervention.