Digital Competencies and Soft Skills for Final Qualification Assessment: Case Study of Students of Foreign Languages Programs in India

Makhachashvili, Rusudan; Semenist, Ivan

doi:10.1145/3473141.3473222

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Again, Kaushik and Agrawal (2021) presented a considerable amount of discomfort among learners to adopt digital learning. In addition, a survey at a well-known B-School in Hyderabad, India, revealed a significant gap in digital literacy and ICT literacy requirements (Makhachashvili & Semenist, 2021). The current study found that adopting digital learning causes significant anxiety and unease even for optimistic and creative learners.…”

Section: Discussionmentioning

confidence: 60%

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Singh Bhati,

Srivastava,

Singh Rathore

2023

JITE:IIP

View full text Add to dashboard Cite

Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the doctoral students are not yet known. They are an important source of knowledge production in academics by way of teaching and research. Methodology: The researchers collected data from universities in the Delhi National Capital Region (NCR) using a survey method from doctoral students using a convenience sampling method. The model studied was the Technology Readiness and Acceptance Model (TRAM), an integration of the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM). Contribution: TRAM provides empirical evidence that it positively predicts behavioral intentions to learn from online platforms. Hence, the study validated the model among doctoral students from the perspective of a developing nation. Findings: The model variables predicted 49% of the variance in doctoral students’ intent. The TRAM model identified motivating constructs such as optimism and innovativeness as influencing TAM predictors. Finally, doctoral students have positive opinions about the usefulness and ease of use of online learning platforms. Recommendations for Practitioners: Academic leaders motivate scholars to use online platforms, and application developers to incorporate features that facilitate ease of use. Recommendation for Researchers: Researchers can explore the applicability of TRAM in other developing countries and examine the role of cultural and social factors in the intent to adopt online learning. Future Research: The influence of demographic variables on intentions can lead to additional insights.

show abstract

Section: Discussionmentioning

confidence: 60%

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Singh Bhati,

Srivastava,

Singh Rathore

2023

JITE:IIP

View full text Add to dashboard Cite

show abstract

Digital Technologies for the Assessment of Oral English Skills

Porlán

Espinosa²,

Vera³

2022

Applied Sciences

View full text Add to dashboard Cite

The assessment of oral skills in the learning process of a foreign language is very important for promoting the improvement of these competences. Furthermore, digital tools can be useful for making this task easier for teachers and promoting their collaboration based on professional online communities. In this article, we present the AROSE platform, a new digital tool developed to help secondary education teachers assess their students’ oral skills in English as a foreign language. To evaluate this platform, we have promoted an international online community of secondary education teachers in a project funded by the Erasmus+ programme. The research has been developed using a design-based research methodology. Three different iterations of the platform design process were carried out. We have used a mixed method combining focus groups (of both teachers and experts), observation forms, and questionnaires for teachers. The main results obtained demonstrate the need among teachers to integrate technology to improve the evaluation process. The AROSE platform successfully caters to this need, as demonstrated by the significant data on the use and satisfaction of its users.

show abstract

Digital Competencies and Soft Skills for Final Qualification Assessment: Case Study of Students of Foreign Languages Programs in India

Cited by 2 publications

References 8 publications

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Digital Technologies for the Assessment of Oral English Skills

Contact Info

Product

Resources

About