Assoc. Prof. Dr Hongli Yang | Wireless Learning Awards | Best Researcher Award

Assoc. Prof. Dr Hongli Yang | Wireless Learning Awards | Best Researcher Award 

Assoc. Prof. Dr Hongli Yang, Northeast Normal University, China

Dr. Hongli Yang is an Associate Professor at the Faculty of Education at Northeast Normal University in Changchun, Jilin, China. With a research focus on writing strategies and environments, she investigates classroom instruction within the context of global educational reform. Since joining the faculty in July 2008, Dr. Yang has contributed significantly to the field of education, exploring the impact of factors such as parental involvement and mobile learning on students’ academic achievement and writing abilities. Her recent publications include influential articles such as “The Impact of Parental Involvement on Student Writing Ability: A Meta-Analysis” in Education Sciences, and she is actively engaged in research funded by the National Office for Education Sciences Planning of China. Dr. Yang’s work aims to enhance understanding of effective writing instruction and to inform educational practices that foster student success in writing.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Hongli Yang

Hongli Yang, an associate professor at Northeast Normal University, has made significant contributions to educational research, particularly in writing strategies, educational technology, and academic engagement. Her work on classroom instruction and educational reform highlights her commitment to advancing the field of education through innovative research methodologies and evidence-based practices.

Education

  • Doctor of Philosophy (Ph.D.) in Education, Northeast Normal University, Changchun, Jilin, China.
  • Master of Education (M.Ed.), Northeast Normal University, Changchun, Jilin, China .
  • Bachelor of Education (B.Ed.), Northeast Normal University, Changchun, Jilin, China.

Work Experience

  • Associate Professor, Faculty of Education, Northeast Normal University, Changchun, Jilin, China
    July 1, 2008 – Present
    Responsibilities include teaching undergraduate and graduate courses, conducting research in writing strategies and classroom instruction, and participating in educational reform initiatives.
  • Researcher, National Office for Education Sciences Planning of China
    Involved in projects focusing on the analysis of Chinese students’ writing abilities and the implications for educational practices.

Publication top Notes:

Peer support and academic engagement: The moderated mediation model for college students

Mobile Learning and Students’ Academic Achievement: A Second-order Meta-analysis Study

The Impact of Parental Involvement on Student Writing Ability: A Meta-Analysis

Education using sensors

Introduction of Education using sensors

Education using sensors is a dynamic field that leverages sensor technologies to enhance learning experiences and improve educational outcomes. Sensors offer opportunities for hands-on, interactive learning across various subjects, from science and engineering to environmental studies and healthcare.

Sensor-Based Science Education:

Investigating the integration of sensors into science curricula to enable students to conduct experiments and collect real-time data, fostering scientific inquiry and critical thinking.

Environmental Monitoring and Education:

Focusing on sensor networks and environmental monitoring tools used in educational settings to teach students about ecosystems, climate change, and sustainability.

Robotics and Sensor-Based Programming:

Addressing robotics and programming platforms that incorporate sensors to teach coding, problem-solving, and robotics concepts in K-12 and higher education.

Healthcare Simulation and Medical Education:

Analyzing sensor-based healthcare simulators and training tools that provide hands-on experiences for medical and healthcare students, improving clinical skills and patient care.

Internet of Things (IoT) in Education:

Investigating the use of IoT sensor networks and devices in educational scenarios, allowing students to explore concepts related to connectivity, data analysis, and automation.