Correction: Bucea-Manea-Țoniș et al. Creating IoT-Enriched Learner-Centered Environments in Sports Science Higher Education during the Pandemic. Sustainability 2022, 14, 4339

The authors would like to make the following corrections to their published paper [1]. The changes are as follows:

(1)

We deleted the references below because some negative comments appear on PubPeer regarding them. With this correction, the order of some references has been adjusted accordingly:

54.

Ping, D.; Ling, A. Simulation of physical education teaching based on FPGA and wearable VR equipment. Microprocess. Microsyst. 2021, 81.

66.

Lei, T.; Cai, Z.; Hua, L. 5G-oriented IoT coverage enhancement and physical education resource management. Microprocess. Microsyst. 2021, 80.

(2)

We added two references in order reinforce the validity of our statistical model. With this correction, the order of some references has been adjusted accordingly:

70.

Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed.; Sage: Thousand Oaks, CA, USA, 2022.

71.

Sarstedt, M.; Hair, J.F.; Pick, M.; Liengaard, B.D.; Radomir, L.; Ringle, C.M. Progress in partial least squares structural equation modelling use in marketing research in the last decade. Psychol. Mark. 2022, 39, 1035–1064.

(3)

In Section 1.2, Paragraph 9, we changed reference citations [43,44] to [43–45].

(4)

We renumbered the references starting with [54]:

Refs. [52–55] in the text below was replaced with [52–54]:

Today, athletes can use VR glasses for an intense sense of reality when performing (in simulated conditions) different motor actions specific to sports such as [52–55]:

Refs. [56–58] in the text below was replaced with [51,55–57]:

Connectivity learning is based on four primary principles: “autonomy, diversity, openness, and connectedness/interactivity” [56–58].

Ref. [59] in the text below was replaced with [58]:

They cannot be taught like other generations through books and printed courses, because they want to try things, simulate, hear, feel, sense, taste, etc. [59].

Refs. [59–61] in the text below was replaced with [58–60]:

VR, the stimulus connected to the body, and the application’s constant feedback lead students to learn the characteristics of motor skills and test different postures/movements without damaging their health [59–61].

Refs. [57,62] and [58,62] in the text below was replaced with [56,61] and [57,61] respectively:

VR and AR in education are associated by students with deep comprehensive learning due to the movement reproduction (learning-by-doing effect) and the involvement of all senses during simulated reality [57,62]. Difficult topics can be taught and facilitated by VR technology through interactive and interesting presentations and constant feedback [58,62].

Refs. [63,64] in the text below was replaced with [62,63]:

The data are also collected through visual sensors such as Kinect sensors, infrared cameras, etc. [63,64].

Refs. [65], [63–65] and [66] in the text below was replaced with [64], [62–64] and [51] respectively:

, range of motion, etc.) [65]. Such detailed and important information helps teachers and trainers to adapt their strategies and set new goals, teaching/training methods, hygiene programs, and physical support [63–65]. Constant monitoring and the appropriate adaptation of the sports science program help athletes to highly develop “accuracy ratio (98.3), prediction ratio (96.5%), interaction ratio (94.4%), performance ratio (95.1%), the efficiency ratio (93.2) and reduce error rate (17.5%), and physical activity patterns” [66].

Refs. [63,67,68] in the text below was replaced with [62,65,66]:

At the same time, the application responds with an individualized program for each athlete due to the machine learning algorithm after getting to know the athlete [63,67,68].

Ref. [63] in the text below was replaced with [62]:

Learning becomes easier and more fun, and students’ motivation, understanding, and deep learning increase very much [63].

Ref. [67] in the text below was replaced with [65]:

“The Internet of Things platform is responsible for data collection and real-time control of the virtual scene” [67].

Ref. [68] in the text below was replaced with [66]:

For this reason, specialists propose VR that can overcome these limitations and can compensate for the lack of sports arenas [68].

Ref. [69] in the text below was replaced with [67]:

“They are eager to read brief and limited content or watch short videos instead of listening to long lectures” [69].

Refs. [67–70] in the text below was replaced with [65–68]:

IoT can improve the learning process, and especially VR solves the problem of the separation between perception and action, making them more natural [67–70].

Refs. [65,66,71] in the text below was replaced with [63,64,69]:

Transforming the didactic triangle (teaching, learning, training) from the perspective of the actions specific to a learning community including teachers and learners [65,66,71];

Refs. [66,67] in the text below was replaced with [70,71]:

For example, the consistency of our model was grounded on the validation steps provided in Table 1 [66,67].

Refs. [50–54] in the text below was replaced with [50–53]:

to integrate a lot of mobility programs to gain international experience and reputation based on the use of IoT in the teaching-learning process [50--54].

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.