Mobile devices such as smartphones and tablets are becoming increasing popular among students, setting out a new way to communicate, collaborate and learn. The use of portable devices has the capability to inspire new approaches to learning. It is therefore important to examine the students’ viewpoints about the educational use of mobile technology in supporting the learning process. The purpose of this study is to determine the impact of mobile devices for learning purposes by exploring the kinds of interactions that students in Nigerian universities have with their portable gadgets. A sample of 240 higher education students participated in the study by completing the researchers’ questionnaire. The results of the study indicate the students use their portable devices to exchange education-related messages and academic files with classmates, search the internet and library databases for academic materials, practice online quizzes or tests and hold discussions with classmates among others. The statistical analyses result show that there is no significant difference in the students’ use of mobile devices based on gender.

The urge to progressively motivate e-counseling in schools is somewhat dependent on students’ behavioral intention towards the use of counseling technologies. This paper presents an empirical approach of using Unified Theory of Acceptance and Use of Technology model to ascertain students’ behavioral intention to adopt and use e-counseling in Ghana. Questionnaires were used to collect data from two hundred and fifty (N=250) randomly selected students from Ghana. Cronbach alpha (α) was first employed to validate and ascertain the reliability of the data. Subsequently, Multiple Linear Regression (MLR) was performed in analysing the data. After that, a follow-up interview was conducted to explore the variance in our findings from the collected data through the questionnaires. In the end, the reliability of the test items contained in the questionnaire yielded strongly at 87.6 %. Also, whereas the outcome of the research suggests Performance Expectancy (PE) (B = .511 , p= .000) and Social Influence (SI) (B = .165 p = .001) as the influencing constructs (factors) towards students’ behavioral intention to adopt and use e-counseling, Facilitation Condition (FC) (B= .014, p= .723) and Effort Expectancy (EE) (B= .086 p= .080) had no significant effect on the behavioral intention of students to adopt and use e-counseling in Ghana.