Cost-effective and user-friendly, mobile phone-assisted methods have remained underutilized in qualitative social science research. The scarce methodological guidance, together with recruitment and ethical challenges, has arguably stifled advancements in this area. COVID-19 exposed the need to better equip researchers with the expertise and tools…

Household expenditure data is at the core of efforts to measure living standards, inequality and financial protection against illness. Currently it is mainly derived from recall-based surveys that are time consuming and prone to measurement errors. Diaries are often used as an alternative approach, however this results in fatigue and low…

Purpose: Mobile learning has seen tremendous growth over the years. Like any other software application, usability is one of the key concerns in its successful implementation. There is a lack of study that provides a comprehensive overview of usability testing of mobile learning applications. Motivated by this a mapping study is conducted.…

Digital technologies play an important role in our daily lives. Smartphones and tablet computers are very common worldwide and are available for everybody from a very early age. This trend offers the opportunity to track digital usage data for psychological and educational research purposes. The current paper introduces two research projects, the…

With the increasing data security awareness of mobile crowdsensing (MCS) participants, smartphone app developers are continually developing technical security protections, but with little consideration on human behaviors. Information technology (IT) advancements seen in the introduction of homomorphic encryption and privacy preserving…

Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…

This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This…

Population growth and migration patterns have shown an influx of residents from rural to urban environments. To deal with the problems caused by unprecedented urban influx, cities should plan to use technology in a smart and distinctive way. Tackling at the city scale is hard. But a set of smart buildings that are interconnected by technology will…

The aim of this study was to investigate how mobile outdoor learning supports the development of students' conceptual understanding about local socio-environmental problems and students' attitudes towards the learning activity. To explore these aspects, a study following a design-based research model was designed and conducted with 68 eighth-ninth…

For the past two decades, educational intervention research has rallied around the common goal of determining "what works in education" to inform education practice and policy (U.S. Department of Education, 2017). To study individual, contextual, and implementation processes and their interaction with educational interventions requires…

Library and information science experts around the globe are currently exploring ways of capitalizing student workflow data within library walls. Within this realm, the researchers designed and pilot-tested a user-driven lightweight application that envisions library as a crucial contributor of co-curricular data to learner profiles' contextual…

The purpose of this study was to provide initial evidence of the effectiveness of Check-In/Check-Out-High School (CICO-HS) on high school student outcomes. Check-In/Check-Out-High School is a version of CICO, an established Tier 2 intervention designed to improve student academic and social behavior, adapted to increase effectiveness and…

Data collection is a fundamental skill in science education, one that students generally practice in a controlled setting using equipment only available in the classroom laboratory. However, using smartphones with their built-in sensors and often free apps, many fundamental experiments can be performed outside the laboratory. Taking advantage of…

In this study, we explored how a teacher used a new mobile application that enables students to collect data inside and outside the classroom, and then use the data to create scientific explanations by using claim-evidence-reasoning framework. Previous technologies designed to support scientific explanations focused on how these programs improve…

Criticisms have been levelled at e-research that limited knowledge has been produced helpful for guiding educators in using digital tools more effectively for teaching and learning. This issue has become more acute with the emergence of mobile devices that enable learners to transition across different learning spaces and times. Traditional data…